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Job DescriptionBenefits: • 401(k), • Bonus based on performance, • Employee discounts TO BE CONSIDERED: please submit a cover letter including a response to the four (4) criteria described below. San Diego Nightlife Tours is looking for energetic & outgoing leaders, who have experience guiding large groups of people, to assist the team in hosting our weekly evening tours. The right candidate will have an understanding that the job entails BOTH: 1) being fearless as the center of attention and 2) having a "job-first" work ethic. Personality & Professionalism: To be successful in this role, applicants will know how to provide a memorable night for guests, while simultaneously understanding the responsibilities and potential liabilities involved. Our events take place in the Gaslamp Quarter downtown, as well as, in the Pacific Beach area. Familiarity with clubs and bars in both parts of town is preferred. Having the confidence to "work the room" is a MUST. PREFERRED EXPERIENCE: Having a genuine appreciation for the nightlife industry, paired with leadership or hospitality roles held at bars or nightclubs is ideal; but general event management and/or customer service is accepted. For more information about who we are and what we do, please visit our website, https://www.sdnightlifetours.com/ ONLY THOSE WHO PROVIDE THE FOLLOWING WILL BE CONSIDERED: (Please reply in cover letter.) 1) Please describe your availability. Be sure to include if you will be working at one or more jobs concurrently. 2) In your own words, explain your understanding of our service & the role, as well as, why you are interested in this position. 3) Please list/highlight any relevant experience (professional or volunteer work accepted). 4) Being comfortable with posting on popular social media platforms is important. Please provide Instagram, YouTube, and/or Tiktok social media handles. For those who would like to make an impression in-person, you're welcome to purchase a ticket and attend the next tour to experience the event & introduce yourself to the team!

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS). As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms. This role is part of the Hivemind Solutions organization and leads a team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.WHAT YOU'LL DO: • Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft, • Lead a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures., • Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables, • Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts.REQUIRED QUALIFICATIONS:, • BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree, • 10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.), • 7+ years of delivering software into production/certifiable environments with high-reliability, • Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning), • Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.), • Understanding of software development processes and how to effectively deploy software, • Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation, • Demonstrate problem solving skills by applying a scientific technical approach, • Customer-facing engineering leader supporting both defense and internally funded development programs, • Contribute to government contract proposal writing, • Excellent communication skills, both written and verbal, • Excellent leadership skills, driving a team of 6-20 engineers#LI-DM1#LEFull-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking a Structural Analyst to support the structural analysis and testing of advanced UAVs. In this role, you will work closely with Mechanical, Systems, Propulsion, and Aerospace Engineers to ensure the structural integrity of our lightweight, high-performance aircraft. You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements. This role is ideal for engineers with 5+ years of experience looking to gain expertise in finite element analysis (FEA), composite materials, mechanical testing, and aircraft loads analysis in a fast-paced, high-tech aerospace environment.What you'll do: • Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components., • Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability., • Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability., • Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability., • Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing., • Analyze flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance., • Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components., • Document and present structural analysis reports and technical recommendations to engineering teams., • Collaborate with cross-functional teams to ensure structural requirements align with system performance goals., • Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.Required qualifications:, • B.S. in Mechanical Engineering, Aerospace Engineering, or related field., • 5+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis., • Experience with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar)., • Strong ability to perform hand calculations for structural strength, stability, and fatigue analysis., • Knowledge of composite materials and lightweight aerospace structures., • Familiarity with mechanical testing methods (static, vibration, and fatigue)., • Proficiency with data analysis tools (Excel, MATLAB, Python, or similar)., • Strong problem-solving skills, attention to detail, and ability to work in a team environment., • Ability to get a S//SAR level security clearance desired.Preferred qualifications:, • Master’s degree in Mechanical or Aerospace Engineering., • Experience in aircraft structural design, UAV airframe development, or aerospace testing., • Hands-on experience with structural testing, modal analysis, or composite modeling., • Exposure to CAD software (NX, SolidWorks) and PLM tools (Teamcenter or similar)., • Understanding of aerospace industry standards, structural certification processes, and material selection.#LI-MS1#LC Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a Manager of Actuated Systems to lead an aircraft mechanical systems team for our groundbreaking jet-engine VTOL military UAV platform, X-BAT. You will manage a team of engineers designing and integrating flight- and mission-critical mechanisms such as doors, uplocks/downlocks, landing gear, folding/packaging mechanisms, flight-control actuation integration, and propulsion/nozzle actuation mechanisms. You will support your team in making key architectural decisions, by being a key technical resource, and by being a strong leader of great engineers. Projects that you might work on: X-BAT Doors, FCAS, Landing Gear, Up/Down Locks What you'll do: • Lead and develop a team of high talent mechanical engineers, from new grad to Principal, focused on aircraft mechanisms and actuation systems (architecture, detailed design, analysis support, release, and sustaining)., • Support your team as a technical resource for end-to-end design of mechanisms including (as applicable):, • Doors & latching, • Uplocks / Downlocks, • Landing gear mechanisms, • Actuation integration for flight controls, • Nozzle / propulsion actuation mechanisms, • Actuation, Hydraulics, • Set the quality bar for mechanisms engineering: what “good” looks like in sizing, tolerances, margins, drawings/MBD, materials/process selection, and verification evidence., • Enable extreme ownership by ensuring engineers have clear goals, interfaces, resources, and decision rights, • Drive effective cross-functional collaboration (systems, structures/loads, aero, propulsion, GNC, avionics, manufacturing, quality, supply chain, test, flight test) by fostering excelling communication across interfaces., • Coach and develop engineers through technical mentorship, career development, feedback, hiring, onboarding, and performance management., • Manage team workload across multiple builds and test campaigns; communicate risk, staffing needs, and schedule impacts with transparency.Required qualifications:, • B.S. in Mechanical Engineering (or equivalent)., • 10+ years experience with aerospace mechanisms and actuated system design, build, integration, test and flight., • 2+ years leading teams or performing in a team leadership role., • Demonstrated ability to lead teams with high autonomy—setting direction, ensuring quality, and scaling output through people., • Strong engineering fundamentals: kinematics, statics/dynamics, fatigue/wear, tolerancing/GD&T, materials and finishes, lubrication/bearings, failure modes., • Experience shipping hardware through prototype build, test, iteration, and release, including supplier and manufacturing engagement.Preferred qualifications:, • Experience with environmental and operational robustness (vibration/shock, thermal extremes, contamination, corrosion, sand/dust, etc.)., • Experience supporting ground test and flight test campaigns and mechanism failure investigations., • Familiarity with reliability and safety methods (DFMEA/FTA, fault containment, safe-state thinking) in collaboration with systems safety., • Experience building supplier relationships for machined parts, actuation systems, mechanisms assemblies, understanding of special processes and inspection/acceptance strategies.#LI-MS2#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPosition SummaryMy Senior Health Plan, a leader in the Medicare B2C space for nearly 20 years, is seeking a strategic, data-driven Digital Marketing Manager to lead our digital marketing efforts and drive brand awareness, customer engagement, and qualified Medicare lead generation.This role is responsible for developing, executing, and optimizing multi-channel marketing campaigns across paid media, email, social media, website, SEO, content marketing, and marketing automation. The Digital Marketing Manager will serve as the primary owner of HubSpot Marketing Hub, overseeing campaign execution, lead nurturing, reporting, and marketing automation.The ideal candidate is both strategic and hands-on, with experience using data to improve marketing performance in a healthcare, insurance, or other highly regulated environment.Key ResponsibilitiesDevelop and execute digital marketing strategies that support business growth and enrollment goals.Manage paid advertising campaigns across Google, Microsoft, Meta, LinkedIn, YouTube, and other digital channels.Own and optimize HubSpot Marketing Hub, including workflows, email campaigns, landing pages, lead scoring, segmentation, and reporting.Drive lead generation through conversion optimization, marketing automation, and nurturing campaigns.Oversee website content, SEO, user experience, and ongoing optimization.Lead content marketing initiatives, including blogs, social media, email campaigns, videos, webinars, and educational resources.Track and analyze marketing performance using KPIs such as MQLs, SQLs, CPL, CAC, ROAS, conversion rates, and campaign ROI.Partner with Sales, Operations, Technology, Compliance, and Executive Leadership to improve lead quality and marketing effectiveness.Ensure all marketing activities comply with CMS, HIPAA, and applicable regulatory requirements.Manage relationships with external agencies, vendors, and marketing technology partners.QualificationsRequiredBachelor's degree in Marketing, Communications, Business, or a related field (or equivalent experience).5+ years of digital marketing experience.3+ years managing marketing automation and lead generation programs.Hands-on experience with HubSpot Marketing Hub or a comparable marketing automation platform.Experience managing paid digital advertising campaigns and marketing budgets.Strong analytical skills with experience using marketing data to drive business decisions.PreferredExperience in Medicare, healthcare, insurance, or another regulated industry.HubSpot Marketing Hub Professional or Enterprise Certification.Google Ads Certification.Experience with Google Analytics (GA4), WordPress, SEO/SEM tools, attribution reporting, and AI-powered marketing tools.Knowledge of CMS Medicare marketing guidelines.Working Conditions:Stationary role, operating a computer and office equipment.Light lifting (up to 25 lbs.).Office environment with occasional movement within the workspace.Why Join Us?Competitive base pay ($72,000-$95,000/year) based on experience.Health insurance (medical, dental, vision) with 75% employer paid premiums.Ancillary benefits (life, pet care, disability, hospital indemnity, accident, critical illness).401(k) plan with matching (up to 4%) and profit-sharing (3-7% of salary).Paid vacation (5 business days in year 1, 10 business days in year 2, 15 business days in year 3+), sick time (5 business days), and company holidays, including the week of Christmas.Paid parking at our office in La Jolla cove. Walk to the beach on your lunch break!What We're Looking For:Want It: You genuinely want to be in this role and thrive in a sales-driven environment. You're motivated by helping clients make informed decisions about their Medicare options and enjoy working toward measurable goals. You see this position as a career opportunity, not just a job.Get It: You fully understand what success looks like in this role. You grasp the importance of timely follow-up, accurate CRM management, and effective communication. You know how to build trust with clients, overcome objections, and maintain a positive attitude even when challenges arise.Capacity to Do It: You have the skills, experience, and bandwidth to excel. This means strong organizational abilities, resilience under pressure, and the ability to manage multiple priorities without sacrificing quality. You're tech-savvy, comfortable with CRM systems, and capable of learning new tools quickly. Most importantly, you have the emotional intelligence to connect with clients and the persistence to hit and exceed sales targets.Our Core Values:Client-Centric Service: Always put the client first.Integrity: Do the right thing, every time.Positivity: Bring energy and optimism to every interaction.Growth Mindset: Embrace learning and continuous improvement.Ready to make a difference? If you're a driven marketing professional looking to grow your career while helping Medicare-eligible individuals, apply today to join My Senior Health Plan's mission-driven team!--AI Use DisclosureTo make our hiring process smooth and efficient, we use tools like BambooHR (application tracking), Hireflix (on-demand interviews), Calendly (scheduling), and TestGorilla (skills assessments). These tools help us stay organized, but all applications and results are carefully reviewed by real people.AI supports our process, it doesn't replace human judgment. We also take steps to reduce potential bias in the tools we use, so every candidate is considered fairly. Job Posted by ApplicantPro

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Software Engineering Integration and Test team is seeking a Senior Automated Test Engineer to design, develop, and scale advanced automated testing and CI/CD infrastructure for our next-generation autonomy platform. You will help develop test frameworks that enable this software ecosystem to create, test and deploy resilient autonomy capabilities for unmanned aircraft and robotic platforms operating in complex, contested, and GPS-denied environments. You will work with a robust suite of autonomy and mission software components, including production flight code, simulation and synthetic environment tooling, mission planning and orchestration systems, operator-facing Ground Control Station (GCS) applications, telemetry and data pipelines, and cloud-native developer infrastructure. In this role, you will help ensure the reliability, scalability, and quality of the Hivemind ecosystem through advanced automation, validation infrastructure, and AI-assisted engineering workflows. You will develop automated test frameworks, CI/CD systems, and verification tooling that support distributed autonomy software spanning onboard edge compute, APIs, web-based operator interfaces, simulation environments, and hardware-in-the-loop systems. Working closely with software, autonomy, simulation, and systems engineering teams, you will contribute to a high-assurance development environment focused on mission-critical reliability, rapid iteration, and engineering excellence. The ideal candidate has strong experience in Python-based automation, distributed systems testing, developer tooling, and modern CI/CD practices, along with an interest in autonomy, aerospace, robotics, or safety-critical software systems. Experience leveraging AI-assisted development and intelligent automation tools to accelerate testing, debugging, analytics, and developer productivity is highly valued. What You'll Do: Design, develop, and maintain automated test frameworks for Autonomy and UI applications. Develop scalable automated test infrastructure for functional, integration, regression, system, and end-to-end testing across distributed software and hardware environments. Create and maintain CI/CD pipelines in GitLab using YAML configurations and shell scripting to support automated build, test, and deployment workflows. Build workflow automation tools and utilities in Python to improve test execution efficiency, reporting, environment setup, and developer productivity. Develop and maintain UI and API test automation using Go and TypeScript for modern web-based operator interfaces and mission control applications. Integrate automated testing into continuous integration environments to support rapid software delivery and high reliability standards. Collaborate closely with software, autonomy, simulation, and systems engineering teams to define verification strategies and improve software quality throughout the development lifecycle. Develop automated validation solutions for safety-critical and mission-critical aerospace software systems. Create test harnesses, simulators, stubs, and mocks to support automated verification in both simulated and hardware-in-the-loop (HIL) environments. Analyze test results, troubleshoot failures, and work with development teams to isolate root causes and improve system reliability. Improve test coverage, execution speed, maintainability, and observability of automated test systems. Contribute to software quality standards, coding best practices, and automation architecture decisions. Maintain clear technical documentation for test frameworks, automation workflows, CI/CD infrastructure, and validation procedures. Support release qualification activities and ensure traceability between requirements, tests, and verification results where applicable. Represent the Integration and Test Role in design reviews and advocate for a culture of engineering excellence and continuous improvement. Develop AI-assisted engineering workflows and analytics tools using modern coding agents such as Claude Code, Codex, and related LLM-based development platforms to improve test generation, failure triage, debugging, and developer productivity. Design intelligent automation pipelines that leverage AI-assisted code generation, log analysis, test analysis, and workflow orchestration to accelerate software verification and validation processes. Evaluate and integrate emerging AI-driven software engineering tools into automated test and CI/CD ecosystems while maintaining reliability, traceability, and engineering quality standards. Required Qualifications: 5+ years of experience building scalable, maintainable automation frameworks and/or developer tooling in Python. 5+ years of experience working with package management, dependency management, and build systems using tools such as conan, pip, setuptools, poetry, and nix or similar. 5+ years of experience building tooling for automated log collection, analytics, reporting, and failure triage. Strong understanding of asynchronous and concurrent programming in Python for scalable automation and parallel test execution. Experience developing and maintaining CI/CD pipelines using GitLab CI, YAML, and shell scripting. Experience with automated testing of distributed systems, backend services, APIs, and web-based UIs. Familiarity with modern test frameworks, automated validation strategies, and software quality methodologies. Experience working in Linux-based development environments. Strong debugging and problem-solving skills in complex software systems. Excellent collaboration and communication skills in cross-functional engineering environments. Preferred Qualifications: Experience integrating Python with native C/C++ libraries and applications using bindings, wrappers, subprocess interfaces, or interoperability tooling. Proficiency with Go and/or TypeScript for automation tooling or UI test development. Experience with C++ development or testing. Aerospace, robotics, autonomy, or safety-critical software experience. Familiarity with simulation, hardware-in-the-loop (HIL), or embedded system testing. Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. In this role, you'll own the technical direction for the Expeditionary portfolio, driving the evolution of autonomy architecture across V-BAT and X-BAT while ensuring scalable, mission-ready solutions that support current operators and future platforms. You'll define long-term technical strategy, solve the organization's most complex integration challenges, and influence the direction of autonomy software spanning mission behaviors, platform interfaces, payload integration, executive autonomy, and multi-agent operations. You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), engineering leadership, customer/program offices, and operational users to ensure Expeditionary autonomy continues to evolve while remaining reliable in operational environments. What You'll Do: Technical Strategy & Portfolio Leadership – Define and drive the long-term technical direction for Expeditionary autonomy across V-BAT, X-BAT, and future platforms. Develop & Field Autonomy – Guide development of mission autonomy, payload integration, flight-autonomy interfaces, executive autonomy, and multi-agent capabilities while ensuring successful operational deployment. Aircraft Team Partnership – Establish long-term technical strategy with the Aircraft team for platform integration, interface evolution, and mission readiness. Cross-Engineering Leadership – Influence architecture across the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), Aircraft, and customer organizations. Subject Matter Expertise – Serve as the organization's technical expert for complex autonomy integration challenges spanning software, hardware, and operations. Design & Engineering Excellence – Lead architecture reviews, engineering standards, interface definitions, and organization-wide technical improvements. Mentorship & Organizational Growth – Mentor senior engineers, develop technical leaders, contribute to leveling frameworks, and partner on senior hiring. Mission Readiness & Operational Excellence – Guide customer releases, deployment strategy, and mission validation while supporting critical operational events. Continuous Improvement – Drive long-term improvements to engineering processes, integration workflows, testing infrastructure, and developer experience. C2 Interoperability & Open Systems – Define technical strategy for command-and-control interoperability and adoption of open-systems standards. Hiring & Developing Technical Talent – Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent experience. 10+ years of relevant experience. Expert-level C++ and Linux systems development experience. Demonstrated experience defining technical strategy across multiple engineering teams or programs. Proven track record influencing architecture and solving highly complex systems integration challenges. Experience mentoring senior engineers and driving engineering excellence. Ability to obtain a SECRET clearance. Preferred Qualifications: Extensive experience with Group 3 UAS, VTOL platforms, or comparable autonomous systems. Experience defining flight-autonomy interfaces or custom autopilot integrations. Experience deploying autonomy to operational military systems. Experience with international defense customers. Experience with STANAG 4586, UCI, OMS, and open-systems architectures. Experience shaping engineering practices across an organization. #LI-ED1#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll define the technical direction for the Launched Effects portfolio, driving the evolution of autonomy architecture across multiple programs while ensuring scalable, mission-ready solutions for fleet-scale operations. You'll solve the organization's most complex integration challenges, influence long-term technical strategy, and partner with engineering leadership, the Autonomy Capabilities and Perception teams, autopilot vendors, C2 providers, and customer stakeholders to deliver autonomy capabilities that perform reliably in operational environments. What You'll Do: Technical Strategy & Portfolio Leadership – Define the long-term technical direction for the Launched Effects portfolio; drive common integration patterns, architecture, and engineering strategy that enable scalable fleet operations across current and future programs. Develop & Field Autonomy – Guide the development and integration of mission autonomy, platform interfaces, executive autonomy, multi-agent coordination, and fleet-scale deployment capabilities while ensuring successful operational delivery across launched effects programs. Collaboration Across Teams & Partners – Build strong technical partnerships across the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, customer organizations, and engineering leadership; influence architecture and technical direction beyond the portfolio. Design & Documentation – Lead cross-functional architecture reviews, interface standards, ICDs, and post-mortems while raising engineering rigor and technical consistency across multiple organizations. Mentorship & Organizational Growth – Mentor Staff and Senior engineers, develop future technical leaders, contribute to engineering standards and leveling, and partner with managers on senior hiring. Pre-deployment Preparation – Guide Capability Release planning, fleet-scale deployment strategies, mission validation, and operational readiness across multiple programs. On-site Test & Mission Support – Provide senior technical leadership during critical flight tests, customer demonstrations, and operational exercises where deep systems integration expertise is required. Hardware/Software Debugging – Lead resolution of the organization's most complex autonomy integration challenges spanning software, embedded systems, networking, platform interfaces, and operational environments. Mission Data & Debrief Support – Drive post-mission analysis, identify systemic improvements, and influence long-term technical investments based on operational learnings. Continuous Improvement – Drive organization-wide improvements to engineering processes, testing infrastructure, integration workflows, developer experience, and mission reliability. C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability; shape interface evolution with internal and external stakeholders while driving adoption of common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT). Hiring & Developing Technical Talent – Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience. Expert-level C++ and Linux systems development experience. Demonstrated experience defining technical strategy across multiple engineering teams or programs. Proven track record influencing architecture and solving highly complex autonomy integration challenges. Experience mentoring senior engineers and driving engineering excellence across an organization. Ability to obtain a SECRET clearance. Preferred Qualifications: Extensive experience with launched effects, autonomous systems, or distributed robotic platforms. Experience defining autopilot integration strategies and multi-agent autonomy architectures. Experience leading fleet-scale or disconnected operational deployments. Experience with military operational testing and international defense customers. Experience with UCI, OMS, MOSA, WOSA, TAK/CoT, or similar open architectures. Experience shaping engineering practices across multiple teams or organizations. #LI-ED1#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:As Technical Program Manager you will be responsible for ensuring the quality of Hivemind Enterprise, a software development kit that enables both Shield AI and third parties to create a new generation of unmanned systems and mission applications that deliver transformative capabilities for the U.S. and its allies. You will work with sponsors, product managers, designers and a talented cross-functional engineering team to lead on-time, on-quality software releases. This Technical Program Manager role requires a versatile individual who can plan and manage complex software test automation projects and flight test operations.What you'll do: • Drive the planning, execution, and delivery of complex software releases for the Hivemind Enterprise platform, • Drive major initiatives building out rigorous simulation-based test automation for autonomy software, • Drive large complex test operations from CI through HIL and flight test, • Collaborate with cross-functional teams, including engineering, product management, and customer engagement, to define test scope, objectives, and deliverables, • Develop detailed project plans, including timelines, milestones, and resource allocation, ensuring adherence to budget and schedule, • Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project completion, • Facilitate regular communication with stakeholders, providing updates on project status, challenges, and accomplishments, • Drive continuous improvement in project management processes, tools, and methodologies, • Foster a culture of innovation, collaboration, and excellence within the program management team, • Facilitate technical decision making to appropriately prioritize work and make complex trades, • Reinforce Shield AI's reputation for technical excellence and ability to deliver through expert engagement and disciplined executionRequired qualifications:, • B.S. in Computer Science, or a related field with 8+ years of work experience in Program Management, Engineering Management or Software Test Engineering; alternative degrees are acceptable if professional experience is focused in testing Enterprise Software, Artificial Intelligence, or Robotics, • Experience driving testing of complex software and integrated HW/SW systems., • Experience driving release management and software test operations, • You have a track record of driving results, not just providing status, • You have solid technical foundations in test engineering and software development, with deep knowledge of how to optimize the software development lifecycle, • You have the ability to recognize efficiency and inefficiency in projects and prioritize remedies based on accurate cost-benefit analysis, • You are an exceptional, fundamentals-driven problem solver and communicator, • You have a demonstrated record of setting and achieving goals in dynamic environments, working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others, • Excellent leadership, communication, and interpersonal skills, • Power user of Jira or work management toolsPreferred qualifications:, • Advanced degree in Computer Science or MBA, • Previous experience as a software developer or a test engineer, • Previous experience driving software releases or test operations for enterprise software used by software engineers, • Passionate about software documentation, • Autonomy, AI, ML expertise, • PMP, Scrum Master, or similar qualifications#LI-DM2#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts. This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount. About the Job: Focusing on the maritime portfolio, you’ll be creating autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions beyond conventional motion planning and waypoint following. The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics to search for, localize, and pursue targets while avoiding sensed threats and obstacles that pose a risk to platform safety. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs. As a Staff Engineer, you will lead the technical delivery of complex autonomy capabilities and demonstrate the ability to operate in significantly more grey space than more junior engineers, helping customers shape their requirements, define technical approaches for the team, and drive technical execution throughout the development process. You will combine your deep technical expertise with systems-level thinking to deliver scalable and operationally ready autonomy solutions. What you'll do: Robust Motion Planning – Automate unmanned surface vehicle (USV) and/or unmanned underwater vehicle (UUV) maneuvering through advanced motion planning and adherence to safety constraints including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations Localization and Tracking – Employ cutting edge approaches for passive and active localization by defining fusion modalities, sensor requirements, and observability-aware maneuvering capabilities to maximize information gleaned from single- or multi-agent sensor networks Safe Maritime Operations – Keep vehicle safety as a central focus within autonomous behavior architectures to provide run-time assurance, ensure COLREGS adherence, and build operator trust in advanced mission autonomy Heterogeneous Multi-Agent Collaboration – Develop distributed optimization and task allocation approaches for heterogenous teaming in order to accomplish mission objectives by maximally utilizing the diverse capabilities of agents to overall team advantage Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms Deployment & Test Support – Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design., • Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically), • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications: Experience in multiple aerospace domains (e.g., air, land, sea, space) Experience across a breadth of methodologies from classical control through optimization and applied ML/RL Background in collaborative behaviors and swarm robotics Familiarity with domain-relevant DoD or government programs Hands-on experience supporting integration events, customer demos, and/or live exercises #LI-ED1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers working on launched effects programs — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — close enough to the code and the integration work to make sound technical decisions, to be credible to your team, and to lead them through the design, development, and delivery of a major capability or program. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners that staff and operate alongside our team. This portfolio runs at a fast cadence — frequent Capability Release milestones, multi-agent fleet operations, air-gapped deployments at scale, and demanding live exercises — and you'll set the pace for your team accordingly. Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most. What you'll do: • Lead the Team — Manage a small-to-mid-sized engineering team (typically 3–8 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals., • Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates., • Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact., • Develop & Field Autonomy — Develop & integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments — and lead a small team through the design, development, and delivery of a major capability or program., • Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders., • Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners (including embedded contractor engineers and U.S. or international government program offices); author and negotiate ICDs and interface contracts rather than just consume them., • Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams., • Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and fleet-scale deployments (often 50–150+ units in disconnected environments); coordinate hardware/software compatibility, mission readiness, and Capability Release (CR) cadence with capability and feature teams., • On-site Test & Mission Support — Travel to test sites and customer exercises to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations), including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads., • Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build., • Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles., • C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT)., • Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, range exercises, and integration events).Required qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience., • 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning)., • Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers., • Track record of mentoring engineers and growing their technical skill and career trajectory., • Demonstrated experience leading a small technical team or owning a major capability from design through field delivery., • Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders., • Direct experience with launched effects, loitering munitions, expendable autonomous systems, or comparable small unmanned platforms., • Experience with multi-agent, swarm, or fleet-scale autonomy., • Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses)., • Hands-on experience supporting live exercises, customer demonstrations, or operational test events for launched effects or similar small unmanned systems., • Experience with autonomy simulation environments for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance.Preferred qualifications:, • Direct experience with PX4 and/or ArduPilot at the platform integration level., • Experience using and developing on QGroundControl (QGC) or other Qt-based ground control stations., • Proficiency in Python for scripting, automation, and analysis., • Experience leading a feature crew, sub-program, or small team in an unmanned systems context., • Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework., • Experience with air-gapped, disconnected, or otherwise constrained deployment of autonomous systems at fleet scale., • Familiarity with tactical edge C2 (e.g., TAK, CoT) and ground operator workflows., • Experience working with embedded contractor engineers, FFRDC partners, or customer-funded staff augmentation models., • Experience supporting international defense customer programs (FMS or direct commercial sales)., • Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices)., • Track record of cross-team improvements (process, rigor, documentation, or developer experience)., • Familiarity with autonomy stacks, motion planning, or vehicle-control integration., • Competence in avionics bring-up, payload computer integration, or hardware-in-the-loop debugging., • Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity., • Comfortable interfacing with DoD stakeholders during field events or technical reviews., • Experience with common message and open-systems standards such as UCI, OMS, MOSA, or WOSA.#LI-ED1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Senior Systems Administrator is responsible for the administration, support, optimization, and continuous improvement of the enterprise IT infrastructure supporting Shield AI's business operations. This role designs, implements, maintains, and troubleshoots enterprise systems across cloud, endpoint, identity, server, and collaboration platforms while ensuring secure, reliable, and scalable services. The Senior Systems Administrator partners with Infrastructure, Networking, Security, and Engineering teams to deliver operational excellence, improve system reliability, automate administrative processes, and support strategic IT initiatives. This position serves as a technical lead for enterprise infrastructure projects and provides advanced troubleshooting for complex operational issues. What you'll do: • Administer, maintain, and optimize enterprise Windows, Linux, and macOS systems supporting corporate business operations., • Design, implement, configure, and support enterprise infrastructure including cloud services, identity management, endpoint management, collaboration platforms, and core IT systems., • Analyze system performance, availability, and operational metrics to proactively improve reliability, scalability, and security., • Administer Active Directory, Azure AD/Entra ID, Group Policy, authentication services, and role-based access controls., • Deploy, maintain, and support endpoint management platforms including Microsoft Intune, JAMF, and related management technologies., • Plan and execute infrastructure upgrades, migrations, patch management, and lifecycle replacement initiatives., • Lead technical implementation of enterprise IT projects while coordinating with Infrastructure, Security, Networking, and business stakeholders., • Troubleshoot complex infrastructure, operating system, cloud, and application issues using root cause analysis methodologies., • Support LAN/WAN connectivity, DNS, DHCP, VPN, and network-related troubleshooting in partnership with networking teams., • Develop automation using PowerShell, Bash, or similar scripting languages to improve operational efficiency and reduce manual administration., • Maintain accurate system documentation, architecture diagrams, operational procedures, and knowledge base articles., • Manage enterprise hardware and software assets throughout their lifecycle including procurement, deployment, maintenance, and decommissioning., • Participate in incident response, change management, disaster recovery planning, and business continuity activities., • Participate in an on-call rotation and perform scheduled maintenance outside normal business hours as required., • Mentor junior administrators and provide technical guidance across the Enterprise IT organization.Required qualifications:, • Bachelor’s degree in information technology, Computer Science, or equivalent practical experience., • 5+ years of progressively responsible experience administering enterprise IT infrastructure and systems., • Strong experience supporting Windows, Linux, and macOS operating systems within enterprise environments., • Advanced knowledge of Microsoft Active Directory, Azure AD (Entra ID), Group Policy, DNS, DHCP, and identity management., • Experience administering Microsoft 365 services including Exchange Online, Teams, SharePoint, and Intune., • Experience managing endpoint platforms such as JAMF, Intune, or Microsoft Endpoint Manager., • Working knowledge of networking fundamentals including TCP/IP, routing, VPN, DNS, firewalls, and network troubleshooting., • Experience supporting enterprise cloud infrastructure and SaaS platforms., • Strong troubleshooting, analytical, and root cause analysis skills across operating systems, infrastructure, and enterprise applications., • Experience implementing system upgrades, migrations, and enterprise infrastructure projects., • Experience with scripting and automation using PowerShell, Bash, or similar tools., • Excellent written and verbal communication skills with the ability to work effectively across technical and non-technical teams., • Ability to manage multiple priorities while maintaining high operational standards., • Willingness to participate in an on-call rotation and support planned maintenance activities.#LI-KE1#LC Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Hivemind Catalyst: A Faster Path to First Flight Shield AI is building the world's best AI pilot. Hivemind powers intelligent aircraft, drones, and robotic systems that operate autonomously in the most demanding environments. Hivemind Catalyst accelerates the adoption of autonomy by enabling customers to rapidly develop, integrate, test, and deploy sovereign autonomous capabilities on their own platforms. As a Senior Staff Technical Program Manager for Hivemind Catalyst, you will operate at the intersection of technology, strategy, business development, and execution. You will help customers define their autonomy roadmaps, shape technical solutions, drive software alignment across internal teams, and ensure successful execution of customer programs from initial engagement through delivery. This role requires exceptional technical judgment, executive communication skills, and the ability to create structure and clarity in highly ambiguous environments. You will work directly with senior engineering leaders, business leaders, international partners, and customers to accelerate the adoption of autonomy at scale. What you'll do: Program Leadership and Execution • Lead technical program management activities for Hivemind customer programs., • Develop technical execution plans that drive technology maturation and successful customer outcomes., • Establish clear milestones, entry criteria, exit criteria, and measurable success metrics across programs., • Manage program cost, schedule, scope, risk, dependencies, and resource allocation., • Track customer spending against contractual budgets and program commitments., • Identify risks early and drive mitigation strategies that reduce technical, schedule, and business uncertainty., • Hold internal and external stakeholders accountable to commitments while maintaining strong customer relationships. Software and Roadmap Alignment • Embed closely within Hivemind Enterprise teams to ensure customer needs are accurately represented in product and engineering priorities., • Drive closed-loop communication between customers, engineering teams, and business stakeholders., • Support software release planning, roadmap development, prioritization, and resource allocation decisions., • Ensure technical investments align with strategic priorities, revenue opportunities, and customer outcomes., • Advocate for the capabilities that create the greatest impact for customers and the business. Customer Strategy and Technical Planning • Review and assess Rough Order of Magnitude (ROM) estimates, Statements of Work (SOWs), proposals, bids, and customer engagements across domestic and international markets., • Develop pricing recommendations, high-level technical decompositions, project plans, and execution strategies., • Partner with customers to define technical roadmaps that accelerate the development, deployment, and operationalization of sovereign autonomy capabilities., • Help customers establish practical paths from prototype to production and mission-ready deployment., • Support business development, capture, and growth initiatives through technical planning, proposal development, and customer engagement. Internal Strategic Execution • Own and maintain technical execution roadmaps across internal Catalyst priorities., • Create structure, prioritization frameworks, and execution plans for internal research and development efforts., • Drive alignment across multiple technical roadmaps and identify interdependencies, conflicts, and resource constraints., • Monitor program health, track progress against objectives, and facilitate data-driven decision making., • Support organizational OKRs and key performance metrics through disciplined execution and reporting. Executive Communication and Stakeholder Management • Develop executive-level communications, briefings, summaries, and decision materials for internal and external stakeholders., • Support Monthly Portfolio Reviews, Executive Steering Committees, Quarterly Business Reviews, Board Reviews, and other strategic forums., • Communicate effectively with senior engineering, business, government, and international stakeholders., • Drive alignment across technical, operational, financial, and strategic priorities. Strategic Initiatives • Lead and support high-impact strategic initiatives that enable company growth and global expansion., • Partner across engineering, legal, compliance, finance, facilities, business development, and operations teams to solve complex cross-functional challenges., • Contribute to international expansion efforts, including establishment of new offices, partnerships, and operating models. Required qualifications:, • Bachelor's degree in Engineering, Computer Science, Aerospace Engineering, or a related technical discipline., • 5+ years of experience in Technical Program Management within a fast-paced technology organization., • Proven experience leading complex, cross-functional technical programs involving software, systems, and external stakeholders., • Experience developing project plans, execution roadmaps, schedules, and risk mitigation strategies., • Strong understanding of software development lifecycles, release planning, and technical product roadmaps., • Experience supporting customer-facing programs, proposals, SOW development, or technical business development activities., • Demonstrated ability to drive clarity, alignment, and execution in ambiguous environments., • Exceptional written and verbal communication skills, including executive-level communications., • Strong analytical and problem-solving skills with the ability to make informed decisions using incomplete information., • Ability to work effectively across engineering, product, business development, finance, and operations organizations., • Willingness to travel up to 25%, including domestic and international travel. Preferred qualifications:, • Experience in autonomy, robotics, aerospace, defense technology, aviation, or complex software platforms., • Experience supporting international customers, partners, or technology programs., • Experience developing technical proposals, ROMs, pricing strategies, or capture plans., • Familiarity with government, defense, or national security acquisition environments., • Experience managing programs involving multiple stakeholders across technical and business domains., • MBA, Master's degree, or advanced technical degree. Why Shield AI: At Shield AI, you will help define the future of autonomy. You will work alongside world-class engineers, operators, and business leaders to deliver transformational technology that enables customers to build and deploy sovereign autonomous capabilities faster than ever before. If you thrive in ambiguity, enjoy solving complex technical and business problems, and want to play a central role in shaping the future of autonomous systems, we'd love to hear from you. #LI-KC3#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Ground Control Station (GCS) and Command & Control (C2) Software team builds the mission planning, command & control, and post-mission debrief systems that enable operators to seamlessly manage complex, multi-domain unmanned missions. We combine modern map-centric interfaces, web technologies, and robust backend services to deliver a world-class operator experience across air, maritime, space, and effects/expendables. In this role, you will focus on building modern, web-based GCS applications, advanced mission planners, post-mission debrief utilities, and general C2 interfaces. You will work across a modern, full-stack ecosystem (utilizing frontend web frameworks, responsive mapping libraries, and robust backend services) to translate autonomous platform capabilities into intuitive, low-latency, and highly reliable control systems. In this role, you will design and develop major GCS features, mentor mid-level engineers, and represent the GCS/C2 team directly to autonomy capability teams, flight operations, and external partners. It's a hands-on role for engineers who enjoy designing user-facing controls and mission-critical systems and want to see their code drive complex real-world operations. What you'll do: • Develop & Field Web-Based GCS/C2 Software — Design, develop, and optimize high-performance, responsive GCS software and C2 applications, utilizing modern web technologies (e.g., React, TypeScript, Node.js, Go) to build map-centric mission planning, real-time command & control, video streaming, and telemetry visualization interfaces., • Technical Leadership — Own technical direction for major GCS features and full-stack subsystems; architect frontend/backend architectures, design robust APIs, and lead technical decision-making within your project area., • Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team, Perception team, flight operations, and external partners (platform integrators, C2 providers, and vehicle vendors); author and negotiate APIs, REST/WebSocket schemas, and interface contracts rather than just consume them., • Mentorship & Growth — Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires., • Design, UX, & Documentation — Drive design reviews, UI/UX prototyping, and API/ICD definitions; champion modern frontend and backend development practices, rigorous unit/integration testing, and developer/operator documentation to close process gaps that span teams., • Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready ground stations and C2 web servers; coordinate hardware/software compatibility, UI/UX readiness, and containerized release cadence., • On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), working closely with operators and pilots to gather feedback, debug live C2 systems, and troubleshoot web interfaces and network configurations under time-critical field constraints., • System Debugging & Performance Tuning — Diagnose and resolve integration issues across GCS/C2 stacks, radio links, and telemetry streams — including UI rendering bottlenecks, API latency, database query optimization, and network latency profiling under operationally-representative loads., • Mission Data & Debrief Support — Architect and implement post-mission debrief utilities and telemetry analysis tools that parse, play back, and visualize telemetry, logs, and payload data for rapid post-mission analysis and issue reproduction., • Continuous Improvement — Build tools and automation scripts to improve C2 deployment pipelines, test/mission reliability, and simulation-based operator testing., • C2 Interoperability & Standards — Own compliance and integration with command-and-control standards and architectures (e.g., A-GRA, UCI, OMS, STANAG 4586, MAVLink)., • Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program., • Travel Requirement — Members of this team typically travel around 10-20% of the year (to support field integration, customer demonstrations, or test events).Required qualifications:, • BS/MS in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience., • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Experience with modern frontend frameworks (e.g., React, TypeScript) and building rich, interactive user experiences in responsive web-based applications., • Experience full-stack or building backend in C/C++, Python, TypeScript, or Go, including service orchestration, command/status interfaces, and data pipelines between UI, ground services, and vehicle-side components., • Deep familiarity with networked and distributed systems, including UDP/TCP transport, custom binary protocols, reliable messaging, pub-sub/IPC middleware, and serialization/IDL tooling., • Experience using AI-assisted development tools to accelerate software design, implementation, debugging, testing, and code review while maintaining strong engineering judgment, validation discipline, and ownership of final technical decisions., • Experience working with databases, including relational (e.g., PostgreSQL) or NoSQL databases, with preference for experience handling spatial/geographic data (e.g., PostGIS)., • Demonstrated experience owning a major software capability or system from architecture through field delivery., • Track record of mentoring engineers and growing technical talent., • Experience authoring or negotiating interface contracts, API specifications (e.g., OpenAPI/Swagger), or ICDs with internal or external stakeholders., • Strong debugging and profiling skills, including diagnosing browser rendering bottlenecks, API latencies, and network connectivity issues., • Ability to obtain a SECRET clearance.Preferred qualifications:, • Experience with Geographic Information Systems (GIS), web mapping libraries (e.g., Maplibre GL, Leaflet, CesiumJS, OpenLayers), and 2D/3D spatial data visualization., • Familiarity with video streaming protocols and multimedia frameworks in a web environment (e.g., WebRTC, HLS, RTSP-to-Web gateways, GStreamer, FFmpeg)., • Experience developing post-mission telemetry analysis, log parsing, or interactive web-based playback/debrief systems., • Experience with containerization and orchestration (e.g., Docker, Kubernetes, k3s/k3d) and deploying C2 services to local, edge, or cloud environments., • Experience with platform control / autopilot protocols (e.g., MAVLink, STANAG 4586) or DoD C2 standards (e.g., A-GRA, UCI, OMS)., • Experience working closely with flight operators, pilots, or military stakeholders to gather feedback and refine user workflows., • Active Secret or Top Secret clearance.#LI-ED1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience. What you'll do: • Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication., • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D, • 2+ years of people leadership experience, • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions., • Exposure to perception applications across air, maritime, and ground platforms. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts. This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount. About the Job:Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs. In many cases, the capabilities you will develop are at the cutting edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial. As a Sr Staff Engineer, you will lead the technical direction for the portfolio, driving the evolution of autonomy capabilities and architectures across multiple programs. At this level, you’ll combine your deep technical expertise and systems level thinking to not only provide capabilities that meet the needs of the now, but to anticipate the needs of the future to ensure long-term portfolio success. You’ll take an active role in mentoring engineers across the organization and be a key expert that leadership leans-on for decomposing ambiguous customer needs into tangible design approaches. What you'll do: Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellite coordinated missions Weapons Target Assignment – Employ cutting edge approaches for weapons target assignment and motion planning for fleets of space vehicles and interceptors that have critical roles in our national defense Advance the State of the Art – Pioneer advanced topics in low-SWaP optimal control, tactical behavior management in cooperative and adversarial contexts, and information-aware planning Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms Deployment & Test Support – Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design., • Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically), • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications: Experience in multiple aerospace domains (e.g., air, land, sea, space) Experience across a breadth of methodologies from classical control through optimization and applied ML/RL Background in collaborative behaviors and swarm robotics Familiarity with domain-relevant DoD or government programs Hands-on experience supporting integration events, customer demos, and/or live exercises #LI-ED1#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll define the technical direction for Emerging Domains, guiding autonomy strategy across multiple new platforms and mission areas while helping transform early-stage R&D efforts into scalable, long-term programs. You'll solve the organization's most complex technical challenges, influence engineering strategy across organizations, and partner with engineering leadership, platform teams, and customer stakeholders to shape the future of Shield AI's next generation of autonomy portfolios. What You'll Do: Stand Up New Programs – Define the technical strategy for establishing autonomy on entirely new platforms and mission areas, determining what should be built, reused, or extended from existing Shield AI capabilities. Navigate Ambiguity & Shifting Priorities – Lead engineering through evolving customer needs, changing priorities, and uncertain technical landscapes while maintaining execution and long-term technical vision. Technical Strategy & Portfolio Leadership – Define long-term technical direction across Emerging Domains, establishing architecture, integration strategies, and engineering patterns that enable successful transition from R&D to operational programs. Develop & Field Autonomy – Guide development and deployment of autonomy capabilities across space, maritime, contested logistics, and future emerging platforms while ensuring successful operational delivery. Platform Team Partnerships – Build deep technical partnerships with platform organizations and influence interface evolution, integration strategy, and long-term platform architecture. Collaboration Across Teams & Partners – Influence architecture across Autonomy Capabilities, Perception, GCS, platform teams, engineering leadership, customer organizations, and external partners. Design & Documentation – Lead architecture reviews, engineering standards, ICDs, and technical best practices across multiple organizations. Pre-deployment Preparation – Guide release strategy, mission validation, and operational readiness across multiple emerging programs. On-site Test & Mission Support – Provide senior technical leadership during critical demonstrations, operational exercises, and customer events where deep systems expertise is required. Hardware/Software Debugging – Lead resolution of the organization's most challenging autonomy integration problems spanning software, hardware, embedded systems, and platform interfaces. Mission Data & Debrief Support – Drive organizational learning from operational testing and shape future technical investments based on mission outcomes. Continuous Improvement – Drive long-term improvements to engineering processes, developer experience, testing infrastructure, and integration workflows across the Emerging Domains portfolio. C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability and guide adoption of platform-appropriate open-systems standards across emerging programs. Grow R&D into Programs – Partner with engineering leadership and customers to evolve successful R&D efforts into scalable, long-term programs while helping shape technical strategy for future portfolios. Hiring & Developing Technical Talent – Help define the technical hiring bar for senior engineering roles, mentor future technical leaders, and partner with managers to grow organizational capability. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience. Expert-level C++ and Linux systems development experience. Demonstrated experience defining technical strategy across multiple programs or engineering organizations. Proven track record solving highly complex systems integration challenges in ambiguous environments. Experience mentoring senior engineers and influencing engineering direction without formal authority. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience leading first-of-kind autonomy or advanced R&D efforts. Experience across multiple autonomy domains (air, maritime, space, ground, or robotics). Experience transitioning prototypes into operational systems. Experience with government R&D programs and defense customers. Experience shaping engineering practices across an organization. Experience with UCI, OMS, STANAG 4586, or other defense interoperability standards. #LI-ED1#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers reliable, mission-ready capabilities through rigorous integration, validation, and flight testing. We work closely with autonomy, platform, and hardware teams to validate new features in simulation, hardware-in-the-loop, and real-world flight environments, ensuring our customers can confidently deploy autonomous systems in demanding operational conditions. We are seeking an experienced Senior Engineer, Flight Test passionate about autonomy development and system validation. In this role, you will develop and execute comprehensive flight test strategies that validate autonomous behaviors, software integrations, and end-to-end system performance. You will work closely with software, hardware, and product teams to reproduce real-world mission scenarios, identify product issues, and improve the quality and reliability of the Hivemind platform. You will also develop tooling that accelerates testing and analysis while mentoring engineers and helping establish best practices across the organization. This position bridges software quality, systems integration, and flight operations—ensuring our autonomy platform delivers reliable, mission-ready autonomous capabilities. What you'll do: • Develop and execute flight test plans that validate new autonomy capabilities, software integrations, and system performance in real-world flight environments., • Design and execute test scenarios that reproduce operational customer workflows and mission conditions to identify software defects, integration issues, and performance limitations., • Build analysis tools and validation workflows that improve test coverage, accelerate regression testing, and reduce time to identify issues., • Review flight logs, telemetry, rosbags, and system data to triage issues, perform root-cause analysis, and collaborate with engineering teams to drive resolution., • Work closely with middleware, autonomy, and integration teams to develop complementary test strategies, share tooling, and improve overall product quality., • Provide technical guidance to junior engineers, establish testing standards, and help improve engineering processes across the organization., • Maintain standard operating procedures, participate in flight operations, and contribute to the continuous improvement of testing processes and operational readiness.Required qualifications:, • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or equivalent work experience., • Proficiency in software quality engineering, test automation, and programming with Python and C++., • Experience planning and executing field or flight testing for robotics, autonomous systems, or complex software platforms., • Experience developing automated test tooling, validation frameworks, or data analysis tools., • Demonstrated experience designing, documenting, executing, and tracking test plans, test cases, and software defects., • Strong problem-solving skills with the ability to analyze flight logs, telemetry, and system behavior to identify root causes., • Excellent communication skills with the ability to collaborate across software, hardware, product, and test organizations., • FAA Part 107 Remote Pilot Certificate (or the ability to obtain one within a reasonable timeframe).Preferred qualifications:, • Experience using GenAI tools to improve engineering productivity or software quality., • Experience with C++14/C++17, TypeScript, JSON, and modern software development practices., • Experience with ROS., • Proficiency with simulation tools and Hardware-in-the-Loop (HIL) testing environments., • Experience with CI/CD pipelines., • Familiarity with networking, Linux operating systems, and radio communications., • Experience testing autonomous aerial systems or other robotic platforms., • Experience analyzing flight telemetry, sensor data, and autonomy behaviors. #LC Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and aircraft systems, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. Shield AI is seeking a senior, hands-on UxS Integration and Systems Expert to help ensure Hivemind can be developed, tested, demonstrated, and supported on representative unmanned systems with confidence. This role sits at the intersection of autonomy software, unmanned aircraft and robotic systems, onboard compute, networking, radios, sensors, flight controllers, simulation, test operations, and customer-facing demonstrations. This is a senior technical leadership role for someone who is both a builder and an operator. The right candidate can move comfortably from architecture discussions to benchtop integration, from lab troubleshooting to field execution, and from platform evaluation to clear recommendations for engineering, test, product, and operations leaders. You will serve as a trusted systems-integration authority for Hivemind test and demonstration hardware. You will help teams select and prepare representative platforms, understand integration tradeoffs, improve test readiness, diagnose cross-disciplinary issues, and translate lessons from real hardware into better engineering, test, and operational practice. The role requires strong judgment, calm execution under pressure, and the ability to bring structure to ambiguous technical environments without overfitting to a single platform or workflow. What you'll do: • Serve as a senior technical focal point for Hivemind integration and test readiness across unmanned aircraft, robotic systems, representative test vehicles, onboard compute, radios, sensors, payloads, and supporting ground equipment., • Lead hands-on integration and troubleshooting efforts that span autonomy software, hardware, flight controllers, communications systems, networking, operator interfaces, and field operations., • Partner with engineering, test, product, operations, field, and customer-facing teams to evaluate new platforms and determine how they can best support Hivemind development, validation, training, demonstrations, and customer objectives., • Help take systems from early concept or benchtop integration through representative test, field execution, and operationally relevant demonstrations., • Provide senior-level technical judgment on platform suitability, integration complexity, test readiness, risk, safety, maintainability, cost, availability, and customer value., • Support test planning and execution across simulated, hardware-in-the-loop, live-vehicle, and flight-test environments while keeping the role focused on practical system readiness and evidence quality., • Help define clear readiness criteria, test expectations, operating assumptions, and handoff points for representative hardware used by Hivemind teams., • Diagnose complex cross-disciplinary issues and help route them effectively across software, autonomy, hardware, flight-test, networking, and operations stakeholders., • Contribute to test methods, metrics, and evidence practices that improve confidence in Hivemind behavior across representative and real-world environments., • Support automation, tooling, and data-review practices that improve repeatability, reduce manual burden, and make hardware-based testing easier to operate at scale., • Capture and share practical knowledge from platform bring-up, test events, flight operations, and customer-facing demonstrations so teams can reuse lessons learned., • Mentor engineers and operators on systems integration, hardware readiness, field troubleshooting, test discipline, and practical autonomy test execution. Projects you might work on:, • Evaluating a new unmanned aircraft, ground robot, customer-selected platform, or lab setup for suitability as a Hivemind development, test, training, or demonstration asset., • Leading technical preparation for a Hivemind test event or customer demonstration that depends on representative hardware, onboard compute, communications, sensors, and operator workflows., • Advising a program team on the right level of platform fidelity needed for a pilot effort, internal test campaign, or customer-facing technical engagement., • Supporting integration between Hivemind and flight-control systems, onboard compute, sensors, payloads, radios, ground-control equipment, or simulation environments., • Helping a test team define practical readiness criteria, test coverage, data-review expectations, and evidence standards for hardware-based autonomy validation., • Working with engineering and operations leaders to turn lessons from field or lab execution into reusable guidance, training, and better test practices. Required qualifications:, • 10+ years of experience in UxS or UAS systems integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles., • Demonstrated experience leading complex integration efforts across hardware, software, autonomy, networking, communications, sensors, and operational test environments., • Strong practical experience bringing up, configuring, operating, and troubleshooting unmanned systems, onboard compute, flight controllers, radios, sensors, ground stations, and supporting test equipment., • Working knowledge of Linux, embedded systems, networking, system configuration, data collection, logs, services, and field diagnostics., • Experience with unmanned-systems autopilot or flight-control ecosystems such as PX4, ArduPilot, MAVLink, Pixhawk/Cube-class flight controllers, QGroundControl, Mission Planner, or equivalent systems., • Experience supporting testing across simulation, hardware-in-the-loop, live-vehicle, field, or flight-test environments., • Ability to develop and communicate test plans, readiness criteria, operating assumptions, technical recommendations, and post-test findings for cross-functional audiences., • Strong analytical, problem-solving, and debugging skills across ambiguous, cross-disciplinary technical issues., • Ability to lead through influence across engineering, test, product, operations, field, and customer-facing teams., • Familiarity with scripting, automation, or data-analysis workflows using Python, Bash, MATLAB, or similar tools., • Strong ownership, urgency, and judgment in fast-moving environments where requirements, platforms, and constraints may evolve quickly., • Ability to comply with export-control, safety, security, customer-site, and mission-specific operating requirements., • Ability to obtain and maintain a Secret security clearance; U.S. citizenship required. Preferred qualifications:, • Experience with Hivemind, autonomy SDKs, autonomous aircraft systems, robotics middleware, simulation infrastructure, or edge-deployed autonomy software., • Hands-on experience with NVIDIA Jetson, embedded Linux, systemd services, containerized deployment, device provisioning, and field update workflows., • Experience with RF/radio setup, mesh networking, tactical datalinks, software-defined radios, or communications-degraded test scenarios., • Experience supporting flight test, range operations, customer trials, operational rehearsals, or complex demonstrations., • Experience integrating EO/IR cameras, gimbals, lidar, GPS/GNSS, IMUs, payloads, or perception sensors., • Experience contributing to test automation, regression frameworks, data validation, performance benchmarking, or CI/CD-integrated test workflows., • Familiarity with C++ for debugging, interface review, or collaboration with software engineering teams., • FAA Part 107, private pilot license, military UAS, aviation maintenance, flight-test, or range-safety experience., • Experience defining reference configurations, hardware baselines, supported configurations, or setup guidance for internal and external users., • Active Secret clearance or higher. #LI-KC3#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI has been redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies for the past few years. We’re looking for a software engineer, well versed in development and testing, to help continue building V-BAT's test operations, specifically automation capabilities and tools used to test software components ranging from autonomy, embedded systems, ground control applications, and more – you will gather requirements and write software to automate them. This is an opportunity to build and solve problems defense primes are unwilling to. You’ll be supported by world-class engineers, but you’re expected to learn on the job and deliver weekly – you’ll need to be hungry and motivated to grow!WHAT YOU'LL DO: • Work directly with our GNC and Embedded teams daily to build software that leverages simulation, avionics, and/or custom hardware to automate testing, • Define test cases to verify and validate embedded or GNC software at a system level, automating them to run continuously, • Implement software interfaces and drivers to orchestrate simulation environments, hardware devices, and test equipment – enabling real-world behaviors, failure injection, and hardware manipulation for various test scenarios, • Quickly prototype solutions using software & hardware to unblock testing, harden your prototype into scalable products for continuous release testing, • Support release test planning and execution leading up to flight test events and major product milestones REQUIRED QUALIFICATIONS:, • 2+ years of related experience with a Bachelor’s degree (CE, CS, EE); or some industry experience (intern, startup, self-projects) with a Master’s or PhD degree, • Strong C++ or Python skills, basic proficiency in the other, • Familiarity with common version control (git) and build/packaging systems (CMake, Poetry, etc), • Passion for growth, fast-paced environments, and holding self to a high standard of excellence PREFERRED QUALIFICATIONS, • 5+ years of related experience building automated test solutions, • Experience building automated test solutions for aircraft of autonomous vehicles, • Experience in automated testing, bare-metal firmware development, or simulation tooling #LI-SM1 Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for emerging domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios — including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts — often standing up the first autonomy on a brand-new platform or for a brand-new mission — with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK — selectively leveraging existing Shield AI autonomy solutions where they apply — to develop autonomy that runs on these new platforms. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers tackling autonomy across Shield AI's emerging-domain efforts — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — writing code where it best serves the team, staying close to the integration work, making sound technical decisions, and leading them through the design, development, and delivery of efforts that may shift in shape, scope, and timeline. This role demands a problem solver who thrives in the unknown — you'll be standing up first autonomy on platforms that often don't have an established autopilot interface, mission autonomy, or operator base yet, and you'll be comfortable with priorities and deadlines that shift as programs mature. You'll partner closely with the platform teams that build each new piece of hardware (spacecraft, vessel, helicopter, etc.), the Autonomy Capabilities, Perception, and GCS teams, and customer/program offices on each effort. Success here means turning short-term R&D and integration efforts into longer-term programs that scale — with the growth opportunity, if desired, to lead the new portfolios that emerge from this work as they mature and graduate from emerging domains. What you'll do: • Lead the Team — Manage an engineering team (typically 5–10 engineers spanning multiple emerging-domain efforts); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals., • Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates., • Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact., • Stand Up New Programs — Stand up autonomy on new platforms and missions — often as the first autonomy engineering presence on the program. Define what the autonomy stack looks like, decide what to build versus what to leverage from existing Shield AI capabilities, and set the technical direction for the effort., • Navigate Ambiguity & Shifting Priorities — Operate effectively in an environment where program shape, scope, and timeline often shift. Make sound technical and staffing decisions with incomplete information, communicate changes clearly to your team and stakeholders, and protect engineering velocity through churn., • Develop & Field Autonomy — Develop & integrate autonomy software solutions onto emerging-domain platforms — satellites, USVs/UUVs, unmanned helicopters, and similar — including platform and autopilot integration, payload and sensor integration, mission behaviors, and validation across software-in-the-loop, hardware-in-the-loop, vehicle-in-the-loop, and live test events. Lead a small team through the design, development, and delivery of each effort., • Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders., • Hands-on Technical Contribution — Stay active in the code; contribute directly where it serves the team — prototyping new capabilities, taking on deep technical analysis of hard problems, or absorbing critical work during demo crunch. This is a manager role, not a managing-only role., • Platform Team Partnerships — Build strong partnerships with each platform team that owns the underlying hardware (spacecraft, vessel, rotorcraft, or other autonomous system) — coordinating on platform changes, autopilot or control-interface evolution, sensor integration, and release planning. Relationships and tight coordination with these teams are critical for success on each new program., • Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer/program offices (U.S. and international); author and negotiate ICDs and interface contracts rather than just consume them., • Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams., • Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and platform teams., • On-site Test & Mission Support — Travel to test sites, customer exercises, and demonstrations to support live mission operations — flight tests, range exercises, on-water trials, satellite ground tests, and similar — including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads., • Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build., • Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles., • C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards relevant to each program (e.g., UCI, OMS, STANAG 4586 for aerial systems, and program-appropriate standards for maritime and space)., • Grow R&D into Programs — Work with leadership and customers to evolve successful short-term R&D efforts into larger, longer-term programs; help shape pursuit strategy and scope as programs mature., • Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, test events, and integration events).Required qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience., • 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning)., • Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers., • Track record of mentoring engineers and growing their technical skill and career trajectory., • Demonstrated experience leading a small technical team or owning a major capability from design through field delivery., • Demonstrated ability to thrive in ambiguity — standing up new efforts with incomplete requirements, making sound decisions with limited information, and adapting to shifting deadlines and priorities., • Experience standing up autonomy on a new platform or for a new mission type (R&D, prototype, or early-stage integration efforts)., • Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders., • Direct experience with autonomous unmanned systems — air, maritime (USV/UUV), space, ground, or rotorcraft., • Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses)., • Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems., • Experience with autonomy simulation environments for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance.Preferred qualifications:, • Experience across multiple unmanned-system domains (e.g., air + maritime, air + space, or similar)., • Direct experience with autonomy for space platforms (satellites, missile defense), maritime systems (USV/UUV), or rotorcraft., • Proficiency in Python for scripting, automation, and analysis., • Experience leading a feature crew, sub-program, or small team in an unmanned systems context., • Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework., • Experience taking R&D or prototype efforts into larger production or fielded programs., • Experience integrating autonomy with custom or in-house autopilot/control stacks at the platform integration level., • Experience with payload and sensor integration on novel platforms (e.g., EO/IR, ViDAR, maritime sensors, space payloads)., • Experience owning customer- or partner-facing technical relationships (e.g., platform vendors, C2 providers, government program offices)., • Track record of cross-team improvements (process, rigor, documentation, or developer experience)., • Familiarity with autonomy stacks, motion planning, or vehicle-control integration., • Competence in avionics/payload-computer integration, hardware-in-the-loop debugging, or comparable bring-up on novel platforms., • Experience developing for or deploying onto ARM-based systems (e.g., embedded payload computers)., • Experience with containerization (e.g., Docker) on embedded or payload compute., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity., • Comfortable interfacing with DoD stakeholders during field events or technical reviews., • Experience supporting international defense customer programs (FMS or direct commercial sales)., • Experience with common message and open-systems standards such as UCI, OMS, STANAG 4586, or domain-equivalents for maritime and space.#LI-ED1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a Staff Flight Test Engineer / Test Director, you will serve as the end-to-end Test Director for the integration, verification, and flight test of Hivemind Mission Autonomy on small Unmanned Aircraft Systems (UAS). You will own the technical direction, execution, and readiness of test campaigns, applying a fly–fix–fly methodology to rapidly mature autonomy capabilities from simulation and lab environments through flight. In this role, you are the single technical authority for test execution—responsible for determining test readiness, directing test conduct, managing risk, and ensuring data-driven decisions throughout development and flight test operations. You will lead cross-functional teams across engineering, safety, and program management, aligning stakeholders around clear objectives, disciplined execution, and continuous learning. What you'll do: • Act as Test Director for system-level integration and flight test campaigns of Hivemind Mission Autonomy on small UAS and external platforms, • Own test readiness decisions, including entry/exit criteria for lab, simulation, ground, and flight test phases, • Plan, direct, and execute fly–fix–fly test campaigns, ensuring rapid iteration while maintaining disciplined configuration control and safety, • Define and enforce test strategy, including system-level verification and validation, test phasing, and prioritization of objectives, • Direct cross-functional test execution, coordinating across various engineering disciplines and test operators., • Determine test infrastructure requirements, including SIL, HIL, simulation environments, flight test assets, and automated test pipelines, • Approve and oversee test procedures, test cards, and execution plans, serving as the final authority during test conduct, • Define performance metrics and success criteria, ensuring test data is actionable and traceable to requirements and mission outcomes, • Lead flight test risk assessments, hazard analyses, and mitigation planning; enforce safety-of-flight discipline during operations, • Serve as primary test interface to internal leadership, customers, and external stakeholders, providing clear reporting on test progress, results, and risks, • Establish test standards, SOPs, and best practices aligned with industry and DoD DT&E/OT&E expectations, • Document test results, anomalies, corrective actions, and lessons learned, driving continuous improvement across autonomy flight test efforts, • Support travel to test sites, customer events, and integration activities as required, • Perform other duties as assigned Required qualifications:, • B.S. degree in a STEM discipline (Aerospace Engineering, Software Engineering, Computer Engineering, or related field), • 7+ years of experience in system integration and test, including SIL, HIL, simulation, and flight test environments, • Demonstrated experience leading test execution, including authority over test conduct, readiness, and risk decisions, • Strong background working cross-functionally with systems engineering, software, hardware, safety, and program management teams, • Highly organized and methodical, with the ability to manage complex, fast-paced test campaigns, • Strong written and verbal communication skills, including briefing technical status to leadership and customers, • Demonstrated integrity, accountability, and commitment to high standards while fostering a collaborative, respectful team environment Preferred qualifications:, • Working knowledge of DoD DT&E and OT&E processes and documentation expectations, • Direct experience with small UAS, autonomy, or robotic flight test operations, • Prior role as Test Director, Test Conductor, or Lead Flight Test Engineer, • Experience operating within DoD software and hardware laboratories or government flight test ranges, • Familiarity with safety-of-flight processes, hazard analysis, and configuration control in flight test environments #LI-LD1#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking an experienced Flight Test Engineer to plan, execute, analyze, and improve ground and flight test operations for a fast-paced next gen aircraft system. You will work closely across several segment owners of engineering, operations, autonomy, systems integration, product support, and manufacturing. What you'll do: • Develop, publish, and execute comprehensive flight test plans, procedures, cards, risk assessments, safety, and readiness reviews, • Support integration and test of aircraft systems, payloads, comms/data links, software, ground control systems, and mission equipment, • Lead and coordinate pre-flight, flight, and post-flight activities, including system configuration, instrumentation, telemetry, data collection and test reports, • Analyze ground and flight test data to identify performance trends, anomalies, root causes, and corrective actions, • Coordinate with engineering teams to validate requirements, troubleshoot issues, and mature system capabilities, • Lead or participate in test range operations, safety briefings, go/no-go decisions, and test setup and logistics, • Document test results, lessons learned, anomalies, and recommendations in clear technical reports, • Support aircraft maintenance, configuration control, and system readiness, • Create and improve flight test processes, tools, data workflows, and operational efficiency, • Create and maintain ground and air operating limitations requirements, • Travel to test sites, customer locations, and field exercises as required Required qualifications:, • Bachelor’s degree in Science, Technology, Engineering or Math (STEM Degree), • 5-10 years of experience with developmental and/or operational ground and flight test, unmanned/manned aircraft systems, aircraft integration, or aerospace systems engineering, • Strong understanding of aircraft systems, flight dynamics, avionics, telemetry, sensors, or control systems, • Proven ability to write and execute structured test plans, procedures, and reports, • Strong troubleshooting skills in field and/or lab environments, • Excellent communication skills and ability to work across engineering and operations teams, • Willingness and ability to travel up to 80% for candidates not based in the Wichita Metro Area, including travel to test sites, ranges, and other field locations, • Overtime and weekend coverage as required Preferred qualifications:, • 10+ years of experience with developmental and/or operational ground and flight test, unmanned aircraft systems, aircraft integration, or aerospace systems engineering, • Experience in Group 4-5 UAS and/or fighter type capability or similar weapons systems, • Familiarity with FAA, DoW, and test range flight operations, • Experience with autonomy, navigation, mission planning, and Command-and-Control (C2) systems, • Hands-on experience with aircraft maintenance, avionics integration, payload integration, and ground support equipment, • Experience with telemetry systems, flight and data logs, sensor data, datalinks, and RF systems, • Part 107 Remote Pilot Certificate or crewed aviation experience, • Proven Mission Control Room experience using Integrated Analysis & Data System (IADS) or similar development FTI display system, • Experience leading or supporting developmental flight test campaigns from design through planning and execution to include reporting Ideal CandidateThe ideal candidate is practical, detail-oriented engineer who is comfortable in control rooms, hangar/maintenance areas, and office type environments. You can write a detailed test plan, troubleshoot hardware and software at a test site, analyze flight data, and communicate clearly under operational pressure. You are safety-minded, have high technical acumen, and motivated by building and validating advanced and complex aircraft systems #LI-AA1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:As the Battery owner, you will be responsible for all aspects of battery systems for X-BAT, the Launch and Recovery Vehicle, and ground equipment. This includes the architecture, design, qualification, integration, and deployment to production. You will help us build a team of world class engineers to support all design needs. A vertically integrated battery pack design will enable top performance, ease of integration, reliability, and rapid supply chain procurement. If you enjoy working cross-functionally and solving hard problems, please apply!What you'll do: • Define and execute the vision of the battery system for X-BAT, the Launch and Recovery Vehicle, and all ground equipment, • Deploy high voltage batteries (270V and higher) to support a power system on the order of 100kW, • Design, develop, and integrate state-of-the-art high-power systems tailored for optimal performance and reliability in harsh environments (high altitude, radiation, etc.), • Execute make/buy trades that align with a long term development roadmap, • Help hire and build the Power System team, • Build a world class power electronics lab that serves all battery needs, • Ensure system performance and reliability is met through rigorous verification, • Debug complex problems related to the electrical design, environmental, manufacturing, etc., • Provide mentorship, design review, and program execution leadership, • Work in a fast-paced environmentRequired qualifications:, • You have a B.S. in Electrical Engineering or equivalent, • Battery design experience on large aircraft, or an equivalent power system (rocket, satellite, submarine, etc.), • 5+ years relevant experience, • Have delivered battery power systems to market, • Proficient with electrical engineering development tools, simulation, and test equipment, • Strong technical fundamentals and analysis#LI-JM2#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. At Shield AI, we're building the most intelligent autonomous aircraft ever deployed. As we push the boundaries of what’s possible in contested environments, we are looking for a Lead Survivability Engineer to shape and optimize the low observable (LO) performance of our next-generation autonomous aircraft. This role is ideal for an experienced engineer with deep expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You’ll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace.What You'll Do: • Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration., • Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi., • Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one., • Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations., • Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints., • Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability., • Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.Required Qualifications:, • B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline., • 7+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems., • Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi., • Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration., • Practical experience with LO testing methods and RCS measurement equipment., • Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies., • Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams., • U.S. Citizenship and active Secret clearance required (TS/SCI preferred)., • Ability to obtain a S//SAR level security clearance desired.Preferred Qualifications:, • Experience with military UAV platforms or 5th-gen fighter programs., • Background in survivability analysis in contested environments (e.g., IADS, radar networks)., • Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments., • Ability to contribute to the design, test, and fielding of a fully integrated LO platform.#LI-JW2#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability. Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.What you'll do: • Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments., • Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks., • Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance., • Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems., • Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions., • Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.Required qualifications:, • Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 years with a PhD; or equivalent practical experience., • Familiarity with algorithms., • Proficient in C++11 or newer in real-time environments., • Comfortable working in Linux, with experience using standard command-line tools and scripting., • Strong written and verbal communication skills with a collaborative mindset., • Demonstrated success working in fast-paced development cycles and delivering high-quality results.Preferred qualifications:, • Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors., • Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters)., • Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions., • Exposure to visual odometry or computer vision-based navigation approaches., • Experience optimizing code for performance on compute-constrained platforms., • Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs)., • Experience transitioning navigation solutions from research into production environments.#LI-SM1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a detail-oriented Cost Accounting Compliance Analyst to support our government contracting operations. This role is critical in ensuring compliance with Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), and other applicable cost accounting standards. You will partner closely with Accounting, Finance, Legal, Contracts, and Program Management teams to ensure accurate cost reporting, support audits, and maintain compliant pricing structures across programs.What You'll Do: • Ensure compliance with FAR, DFARS, and Cost Accounting Standards (CAS) in all cost-related activities, • Lead the preparation of incurred cost submissions (ICS), provisional billing rate (PBR), and forward pricing rate proposals (FPRP), • Analyze and validate cost structures, indirect rates, and allocation methodologies, • Assist in DCAA/DCMA audits, including data requests, documentation, and responses, • Review contracts and proposals for compliance with government cost/pricing requirements, • Maintain and improve internal controls related to cost accounting practices, • Collaborate cross-functionally with Contracts, Pricing, and Program teams to ensure alignment, • Identify compliance risks and recommend corrective actionsRequired Qualifications:, • Bachelor’s degree in Accounting, Finance, or related field, • 8+years of experience in cost accounting within a government contracting environment, • Strong working knowledge of FAR, DFARS, and CAS, • Experience supporting DCAA, DCMA or IPA audits, • Familiarity with incurred cost submissions and pricing proposals, • Experience with Disclosure Statements (CASB DS-1), • Advanced proficiency in Excel and financial analysis tools, • Strong analytical, organizational, and communication skillsPreferred Qualifications:, • Experience in Aerospace & Defense or similar regulated industry, • Exposure to ERP systems (e.g., Deltek Costpoint, SAP, Oracle), • Experience leveraging AI and automation in core job responsibilities, • CPA, CMA, or progress toward certificationFull-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Product Manager will drive the strategy and execution of Shield AI’s next-generation autonomy intelligence stack—enabling customers and internal teams to train, evaluate, and deploy foundation and domain models that power resilient autonomy at the edge. This PM owns the product vision and roadmap for the Hivemind AI Platform (Forge, training pipelines, data infrastructure, evaluation, and deployment toolchains), ensuring we can manufacture, govern, and field advanced world models, robotics foundation models, and vision-language-action systems safely and at scale. This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning—capabilities that are central to Shield AI’s strategic direction. This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.What you'll do: • AI Model Development & Training Platform, • Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines., • Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization., • Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites., • Data, Simulation & Synthetic Data Factory, • Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation., • Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants., • Safe Deployment & Model Governance, • Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence., • Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments., • Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements., • Edge Deployment & AI Factory Integration, • Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors., • Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model., • Ensure closed-loop workflows between cloud model training and edge-native execution., • Cross-Functional Leadership, • Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints., • Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories., • Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams., • User & Customer Impact, • Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform., • Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements., • Lead demos and onboarding for model-development capabilities across internal and external teams.Required qualifications:, • 7+ years of experience in product management or highly technical ML/AI product roles., • 2+ years of experience in a hands-on software development role., • Strong engineering background (Computer Science, Electrical Engineering, Robotics, or related field)., • Deep understanding of foundation models, robotics models, multimodal models, MLOps, and training infrastructure., • Experience managing complex products spanning data pipelines, cloud training clusters, model governance, and edge deployments., • Proven success partnering with research teams to transition ML innovations into stable, production-grade workflows., • Familiarity with simulation-based data generation and large-scale data management., • Excellent communicator with strong cross-functional leadership skills.Preferred qualifications:, • Experience working on autonomy, robotics, embedded AI, or mission-critical systems., • Hands-on familiarity with GPU infrastructure, distributed training, or data lakehouse architectures., • Experience supporting defense, dual-use, or safety-critical AI systems., • Background designing or operating AI Factory–style pipelines (data → training → evaluation → distillation → edge deployment)., • Advanced degree in engineering, ML/AI, robotics, or a related field.#LI-DM2#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI's Software Test & Automation Team develops the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. Our mission is to provide objective evidence of software quality, reliability, and mission readiness by building scalable automated test frameworks, repeatable validation environments, and data-driven readiness assessments spanning simulation, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and Vehicle-in-the-Loop (VIL) environments. As a Senior Software Test & Automation Engineer, you will design and develop automated test infrastructure, execute system-level verification activities, analyze software performance, and build the tooling that enables continuous validation throughout the development lifecycle. Working closely with autonomy software, systems engineering, digital infrastructure, and flight test teams, you will help ensure autonomy capabilities are validated, repeatable, and ready for operational deployment. What you'll do: Design, develop, and maintain automated test frameworks, validation tooling, and test infrastructure supporting autonomy software. Develop and execute verification and validation strategies across simulation, SIL, HIL, VIL, and representative system environments. Build automated regression, integration, functional, and performance test suites that improve software quality and deployment confidence. Develop Python-based automation, test harnesses, and analysis tools that reduce manual testing effort and improve repeatability. Analyze test results, identify software defects and integration issues, and support cross-functional root cause investigations. Develop software quality metrics, dashboards, and readiness assessments that provide objective evidence of software maturity. Integrate automated testing into CI/CD workflows to enable continuous validation and rapid developer feedback. Collaborate with autonomy software, systems engineering, flight test, and integration teams to define validation strategies and readiness criteria. Improve test infrastructure, automation coverage, and validation methodologies across the Expeditionary and Emerging Operations portfolio. Required qualifications: BS in Computer Science, Aerospace, Electrical, Mechanical Engineering or related field. 4–7 years developing software test, verification, automation, or validation solutions for robotics, autonomy, aerospace, or other complex distributed systems. Strong proficiency in Python for automation, testing, and data analysis. Experience developing automated test frameworks, test harnesses, or validation infrastructure. Experience with Linux-based development environments. Experience validating software in simulation, SIL, HIL, and/or representative hardware environments. Experience debugging complex software and system integration issues. Experience with CI/CD pipelines and continuous validation practices. Strong understanding of software verification, regression testing, and quality assurance methodologies. Preferred qualifications: Experience with flight control systems such as ArduPilot or PX4. Experience with unmanned aerial systems (fixed-wing, quadrotor, or both) Background in autonomy, robotics, or aerospace systems Familiarity with flight controllers, radios, and communications systems #LI-LD1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking an ambitious, experienced Senior Manager, Revenue Accounting to join our growing Accounting team at one of the fastest-growing technology companies in Defense & Aerospace. This role will lead the end-to-end revenue accounting process, including technical revenue accounting, operational revenue accounting, contract review, monthly close activities, and order-to-cash process design. The Senior Manager will serve as a key revenue accounting leader and cross-functional partner to Legal, Business Development, Revenue Operations, Program Finance, Billing, Collections, and FP&A to ensure revenue is recognized accurately, timely, and in accordance with ASC 606. This role will also help design and scale revenue accounting processes, controls, systems, and workflows to support Shield AI’s continued international growth.What you'll do: • Lead the end-to-end revenue accounting process, including customer contract review, revenue recognition conclusions, monthly revenue close activities, and operational execution in accordance with ASC 606., • Lead the preparation and review of revenue-related journal entries, ensuring entries are accurate, complete, appropriately supported, and aligned with company accounting policies., • Review revenue-related account reconciliations, including deferred revenue, unbilled receivables, contract assets, contract liabilities, accounts receivable, and other order-to-cash related balances., • Manage and lead the preparation, review, and approval of customer contracts, ensuring appropriate revenue recognition while partnering with Sales, Legal, Business Development, Revenue Operations, and Program Finance on deal structure, contractual terms, and revenue guidance implementation., • Serve as one of the company’s subject matter experts on ASC 606, providing technical accounting guidance on complex revenue arrangements, non-standard contract terms, variable consideration, contract modifications, performance obligations, and other revenue recognition matters., • Own and evolve revenue accounting policies, including SSP analyses, allocation methodologies, and revenue recognition positions as new products, pricing models, geographies, and contract structures are introduced., • Design, document, and improve order-to-cash processes to ensure accuracy, scalability, operational efficiency, and strong internal controls across contract review, billing, revenue recognition, collections handoffs, and reporting., • Identify process gaps, control risks, and system limitations within the revenue accounting and order-to-cash lifecycle, and lead initiatives to improve process quality, automation, scalability, and audit readiness., • Support internal and external audits by preparing and reviewing audit schedules, responding to technical accounting inquiries, and ensuring revenue accounting documentation is complete, accurate, and well-controlled., • Mentor and develop revenue accounting team members, providing coaching, review, prioritization, and guidance to support team growth and operational excellence.Required qualifications:, • 8+ years of relevant accounting experience, including significant experience in technical revenue accounting under ASC 606 and/or IFRS 15., • Bachelor’s degree in Accounting, Finance, or a related field; CPA preferred., • Strong revenue recognition experience, including experience reviewing complex customer contracts and assessing accounting conclusions under ASC 606., • Experience leading or managing revenue accounting close activities, including review of journal entries, account reconciliations, and revenue-related balance sheet accounts., • Deep understanding of order-to-cash processes and how technical accounting decisions impact billing, collections, revenue recognition, reporting, and controls., • Experience designing, improving, or scaling revenue accounting and order-to-cash processes in a high-growth or complex business environment., • Experience with revenue recognition, ERP, CRM, and/or order-to-cash systems, such as Salesforce or equivalent tools., • Strong analytical, problem-solving, and project management skills, with the ability to manage multiple priorities in a fast-paced environment., • Excellent written and verbal communication skills, with the ability to distill complex technical accounting issues into clear, actionable guidance for cross-functional stakeholders., • Proven ability to work cross-functionally with Legal, Sales, Business Development, Revenue Operations, Billing, Collections, Program Finance, FP&A, Systems, and external auditors., • Strong understanding of internal controls, audit requirements, and SOX compliance protocols., • Demonstrated ability to balance technical accounting rigor with operational practicality and business partnership., • Data-driven mindset with a proactive approach to process improvement, automation, and scalable operations.Preferred qualificatkions:, • Big 4 public accounting experience preferred., • Public company experience preferred., • Experience with international expansion, including EMEA revenue accounting considerations., • Experience in high-growth technology, SaaS, PaaS, Defense, Aerospace, manufacturing, or complex contract environments., • Experience with long-term contracts, milestone billing, project-based revenue recognition, government contracts, or complex commercial arrangements., • Experience implementing or optimizing revenue recognition, billing, ERP, CRM, or order-to-cash systems.San Diego, CA pay range: $140,000 - $210,000 San Mateo, CA pay range: $170,000 - $250,000#LI-TF1#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking a Principal Fuel Systems Engineer to lead architecture, development, and validation of fuel systems for advanced AI-powered aircraft. In this role, you’ll own the full lifecycle of fuel system design—from concept through flight testing—while mentoring others and driving technical excellence across our growing air vehicle portfolio. You’ll tackle high-impact challenges: enabling efficient long-endurance flight, optimizing aircraft center of gravity, and developing robust, certifiable systems that perform flawlessly in extreme conditions. On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement may be considered with up to 25% travel.What you will do in this role: • Architect end-to-end fuel systems including storage, transfer, venting, and pressurization for next-gen autonomous aircraft., • Lead cross-functional integration between propulsion, structures, avionics, and thermal teams to ensure optimal system performance., • Conduct system-level modeling and analysis to predict flow behavior, vapor suppression, slosh dynamics, and thermal effects., • Define performance requirements and verification strategies for high-reliability components and assemblies., • Lead design reviews, technical trade studies, and risk assessments for critical systems., • Oversee supplier selection, qualification, and acceptance testing for pumps, valves, tanks, and sensors., • Support and guide ground and flight test campaigns; perform root-cause analysis for system anomalies., • Mentor engineers, establish best practices, and develop processes for system integration and testing., • Contribute to long-term technology roadmaps, including hybrid-electric and alternative fuel system architectures.Required qualifications:, • B.S. or M.S. in Aerospace, Mechanical, or related engineering discipline., • 12–15+ years of experience in aircraft fuel systems, aerospace fluids, or propulsion integration., • Demonstrated expertise with fuel system design, analysis, and certification for manned or unmanned aircraft., • Deep understanding of fluid mechanics, thermodynamics, and CFD principles., • Proficiency with analysis and modeling tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) and CAD software (NX, CATIA, or SolidWorks)., • Strong technical leadership and mentoring experience within multidisciplinary teams., • Familiarity with FAA and MIL-STD certification requirements and validation testing., • U.S. Citizenship required., • For remote candidates - ability to travel up to 25%., • Ability to obtain a S//SAR level security clearance desired.Preferred qualifications:, • Experience with UAV, fighter, or ISR platform development., • Proven success leading complex fuel system programs from concept through flight test., • Knowledge of advanced or low-observable fuel system technologies, vapor suppression, and hybrid-electric integration., • Active or previous security clearance.#LI-JM2#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:This role is the team's primary interface between perception software and the flight test enterprise. You will work alongside autonomy/perception software developers, flight test engineers, and platform integration teams to mature our capabilities from algorithm to flight-verified system. The ideal candidate brings hands-on experience deploying and testing autonomy or perception software on edge hardware, a strong foundation in one or more core perception disciplines (detection, tracking, SLAM, or navigation), and a bias toward field execution over theoretical analysis.What you'll do: • Integrate perception and state-estimation software with EO/IR cameras, IMU/GNSS/PNT sensors, embedded compute, and target or surrogate platforms., • Lead the practical fly-fix-fly loop: prepare software and hardware, verify deployment/configuration, support execution, analyze the data, and drive the next corrective action with the responsible owners., • Establish and improve calibration, timing, configuration, data-capture, metadata, and replay practices; define the measurable test objectives and acceptance criteria that make the resulting data usable., • Investigate anomalous behavior using logs, recorded data, configuration, and focused source review; partner with software developers on targeted fixes and regression coverage., • Support sensor and edge-compute trade studies, bring-up, and operational readiness; drive day-to-day technical triage while escalating safety, airworthiness, and architecture decisions appropriately.Required qualifications:, • Hands-on experience integrating and troubleshooting sensor-driven robotics or autonomy systems on physical hardware, including camera, IMU, GNSS/PNT, video, or comparable sensors., • Experience with calibration, timestamping, configuration, data quality, or a comparable sensor-integration discipline., • Experience defining and executing measurable test objectives, design-of-experiments activities, operational test procedures, or equivalent verification plans., • Proficiency in Python/Matlab for analysis, visualization, and investigation of recorded test data., • Comfort reading C++ and working with embedded Linux or edge-compute deployments to support focused debugging and integration work., • Demonstrated ability to work across hardware, software, test, and operational stakeholders; working knowledge of at least one core perception area such as navigation, tracking, detection, navigation, SLAM, or sensor fusion.Preferred qualifications:, • Direct experience with camera intrinsics/extrinsics, camera-to-IMU calibration, time alignment, VIO/VBN, or other sensor-fusion systems in real-world testing., • Familiarity with capture, replay, and analysis workflows, plus EO/IR camera, optics, video-metadata, or image-quality characterization., • Experience with NVIDIA Jetson or comparable embedded GPU hardware, camera/video pipelines, and performance profiling., • Background supporting aviation, maritime, UAS, automotive, industrial robotics, or another operational autonomy domain; familiarity with modern C++ build, deployment, or CI environments.#LI-KC3#LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: • Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products., • Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows., • Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps., • Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows., • Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints., • Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop., • Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback., • Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds., • Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on:, • Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows., • Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material., • Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop., • Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints., • Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications:, • Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience., • 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role., • Strong technical background in software engineering, systems integration, or autonomy-adjacent systems., • Proficiency writing, reading, and debugging modern C++ code., • Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows., • Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows., • Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments., • Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on., • Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments., • Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure., • Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications:, • Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments., • Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments., • Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout., • Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments., • Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation., • FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience., • Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation., • Active or prior security clearance, or eligibility to obtain one when required by program or customer need. #LI-KC3#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a Staff Aerostructures Design Engineer to support the development of structural components for our next-generation autonomous aircraft. As a key contributor on the Mechanical Engineering team, you will design and develop high-performance structural components from concept through production release. You’ll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace mechanical engineer who thrives in hands-on design environments and is eager to take increasing ownership of flight-critical designs. What you'll do: • Design and develop structural components and assemblies for Shield AI’s next-generation UAV platform, supporting both primary and secondary aircraft structures., • Execute all stages of the design lifecycle including conceptual development, initial CAD modeling, detailed design, and drawing release., • Perform hand calculations for stress or strain with limited basic FEA analysis, with guidance from senior engineers as needed., • Collaborate closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to support system integration across airframe interfaces., • Support structural validation efforts including coupon testing, subcomponent testing, and system-level verification., • Generate high-quality design documentation, drawings, interface definitions, and analysis reports in compliance with aerospace standards., • Partner with manufacturing and flight test teams to resolve build issues and support hardware through test and deployment., • Participate in design reviews and technical discussions, presenting work clearly and incorporating feedback effectively., • Continuously improve personal technical depth in structural layout, joints, fasteners, tolerancing, and structural optimization.Required qualifications:, • Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline., • 8+ years of experience in aircraft structural design or closely related aerospace structures., • Experience designing and releasing structural components in development or production environments., • Working knowledge of composite and metallic structures, including fasteners, bonded joints, and load paths., • Proficiency in CAD tools (NX, CATIA, SolidWorks, or similar)., • Understanding of GD&T, tolerance stackups, and DFMA principles., • Strong written and verbal technical communication skills., • Demonstrated ability to operate in fast-paced, high-ownership engineering environments, • Ability to get a S//SAR level security clearance desired.Preferred qualifications:, • M.S. degree in Aerospace or Mechanical Engineering., • Experience supporting UAV, DoD, or aerospace vehicle programs., • Familiarity with aerospace standards (MIL-STD, ASME Y14.5, FAA)., • Experience supporting hardware through test, failure analysis, and design iteration., • Exposure to composite design and manufacturing methods., • Experience using FEA tools (ANSYS, Abaqus, NASTRAN, or similar) for linear structural analysis#LI-MS1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance. We’re looking for a Power Engineer II to contribute to the design, analysis, and validation of power electronics systems critical to our aircraft. This role is perfect for an engineer with a solid foundation in power systems who is eager to grow, own challenging projects, and see their work move rapidly from concept to flight. If you thrive in fast-paced environments, enjoy solving complex problems, and want to help build the future of autonomous aviation, we want to hear from you.What you'll do: • Design Power Electronics: Design of HV and LV systems including:-High-voltage and low-voltage power systems-DC-DC converters, inverters, and motor controllers-Battery, Battery management, power generation, and distribution-Embedded safety and protection mechanisms, • Design across power ranges: Engineer solutions from <1 kW low-power systems to >10 kW high-power applications, • Full-cycle hardware development: Own the entire flow — concept, modeling, worst case analysis, schematic capture, simulation, prototyping, design reiteration for improving design maturity, testing and validation, • PCB ownership: Drive PCB layout and design with ECAD engineers, optimizing for power density, EMI, thermal, and manufacturability, • Design for Safety, Manufacturability and Reliability: Design robust systems keeping in mind best practices for safety, manufacturing and reliability, • Board Bring Up and Testing: execute board bring up, verification, validation and HALT testing to meet rigorous aerospace reliability standards, • Cross-functional collaboration: Work closely with Mechanical, CAD, Embedded, Software, Production and various aircraft teams throughout the product lifecycle, • Design review leadership: Lead and contribute to cross-functional reviews ensuring robust, high-integrity engineering decisions, • Program execution: Manage project timelines, deliverables, and technical milestones to drive on-time, high-quality outcomesRequired qualifications:, • You have a B.S. in Electrical Engineering or equivalent, • You have 1+ years of experience as an Electrical Engineer, • You are experienced with: circuit design, schematic capture, component selection, circuit testing, and debugging, • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others, • Familiarity with Altium or equivalent, • You have experience with lab equipment: oscilloscopes, power supplies, E-loads, multimeters, etc..#LI-JM2#LB Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft XBAT like no other—one that will push the boundaries of innovation and performance. We’re looking for a Principal Power Electronics Engineer to own the design of power electronics and the system they integrate with on the X-BAT aircraft. This includes architecture and converter design, development, and delivery across our aircraft programs. You will define requirements and be responsible for design from concept to production. If you excel in cross-functional collaboration, thrive in fast-moving environments, and are passionate about pushing the limits of power system design, we want to hear from you.What you'll do: • Own flight critical power system design for X-BAT, • Design power electronics for the high voltage and low voltage systems. This includes inverters, DC-DC converters, battery management, and other power electronics, • Lead others to execute design, verification, and manufacturing deployment, • Provide mentorship and technical feedback to others on the power team and cross-functionally, • Harden the designs for harsh environments such as shock/vibe, high reliability, radiation, and high-altitude, • Work on power sub-systems and designs for both low power (<1 kW) and high power (>10 kW), • Full-cycle hardware development: Own the entire flow — concept, modeling, worst case analysis, schematic capture, simulation, prototyping, design reiteration for improving design maturity, testing and validation, • PCB ownership: Drive PCB layout and design with ECAD engineers, optimizing for power density, EMI, thermal, and manufacturability, • Design for Safety, Manufacturability and Reliability: Design robust systems keeping in mind best practices for safety, manufacturing and reliability, • Cross-functional collaboration: Work closely with Mechanical, CAD, Embedded, Software, Supply Chain, Test Automation, Production and various aircraft teams throughout the product lifecycle, • Design review leadership: Lead and contribute to cross-functional reviews ensuring robust, high-integrity engineering decisions. Mentor junior engineers that support your design, • Program execution: Manage project timelines, deliverables, and technical milestones to drive on-time, high-quality outcomesRequired qualifications:, • You have a B.S. in Electrical Engineering or equivalent, • You have 10+ years of experience as an Electrical Engineer, • You are experienced with: circuit design, schematic capture, component selection, circuit testing, and debugging, • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others, • Familiarity with Altium or equivalent #LI-JM2#LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking an Accounting Manager to join our Finance team. As Shield AI continues to expand globally, this role presents an opportunity to support and enhance the accounting function at a high-growth, mission-driven technology company. Reporting to the Accounting Director, this role will manage key components of the global accounting close process, intercompany activities, and process improvement initiatives while helping to build scalable infrastructure that supports audit readiness and future public-company standards. What you'll do: • Manage and execute key accounting operations, including the monthly global close and consolidation process (with intercompany eliminations and foreign currency translation), general ledger accounting, review of accrual entries, and oversight of cash transaction processing and reconciliations., • Partner with the broader finance team to ensure a timely close and reporting cycle and assist in the execution of team objectives., • Assist in the implementation, documentation, and maintenance of internal controls in preparation for future SOX compliance requirements., • Contribute to the implementation, enhancement, and ongoing optimization of accounting systems and processes., • Support change management initiatives through clear documentation and adherence to governance practices., • Promote quality and accuracy across the organization through ongoing review, verification, and reconciliation activities., • Stay up to date on industry best practices and emerging accounting trends., • Perform additional tasks as needed to support the company’s strategic objectives. Required qualifications:, • Bachelor’s degree in Accounting (preferred), Finance, or a related field., • Strong understanding of U.S. GAAP and experience working within a robust internal control environment; familiarity with SOX compliance is a plus., • Excellent time management skills with the ability to independently manage multiple priorities in a fast-paced environment., • Strong analytical, problem-solving, and decision-making skills., • High level of initiative and self-motivation, with demonstrated communication and collaboration abilities., • Proven experience coordinating with cross-functional teams and external stakeholders., • Ability to manage projects from inception to completion while incorporating feedback from multiple sources., • Ability to multi-task, prioritize competing demands, and meet deadlines consistently., • High proficiency in Microsoft Office Suite. Preferred qualifications:, • Experience in a fast-paced, high-growth environment., • Active CPA license., • Experience in aerospace & defense industries., • Familiarity with project-based accounting., • Strong leadership, communication, and influencing skills., • Demonstrated ability to analyze complex issues, interpret operational needs, and implement effective solutions., • Proven decisiveness in resolving business challenges, making informed decisions, and establishing clear priorities. #LI-TF1 #LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a Staff Data Platform Engineer to help define and build the data foundation of the AI Factory. The Data Platform provides a unifying, knowledge-graph-centered API layer for human and agentic workflows. It connects configurations, requirements, software versions, test executions, files, signals, training data, and results through stable identities and typed relationships. It also provides consistent access to the storage and compute systems behind those data products. This is a hands-on technical leadership role. You will design platform architecture, implement production software, evaluate storage and compute technologies, establish data-modeling patterns, and work directly with teams collecting and consuming mission-critical data. Success requires balancing developer productivity, semantic clarity, operational reliability, system performance, portability, and long-term maintainability. What you'll do: • Develop a unifying Graph API: Lead the architecture and implementation of the knowledge graph and multi-modal API layer that serves as the backbone for human, service, and agentic workflows., • Own DataOps infrastructure: Research, optimize, and maintain the storage, indexing, query, ingestion, and compute infrastructure used throughout the data lifecycle., • Establish best-practices: Establish durable, best-practice patterns for schema modeling, relationships, lineage, and schema evolution., • Turbocharge agentic data access: Build APIs that enable agents to retrieve structured, connected, and explainable context rather than relying only on keyword or vector similarity., • Develop reference architectures: Establish recommended storage and compute profiles, deployment patterns, benchmarks, and operational guidance for both internal and customer-managed infrastructure., • Advise downstream teams: Partner directly with autonomy, ML, test, infrastructure, product, and customer-facing teams to turn real workflows into reusable platform capabilities from modeling to integrations., • Build first-party integrations: Deliver integrations that make important data easy to collect and aggregate, including data produced by simulations, test infrastructure, training systems, and edge devices., • Improve developer experience: Create self-service APIs, SDKs, tools, examples, and diagnostics that make correct data modeling and ingestion the easiest path., • Drive technical direction: Evaluate emerging data and AI infrastructure technologies, make principled build-versus-buy decisions, and guide implementation across team boundaries., • Raise operational quality: Establish expectations for observability, performance, reliability, security, data integrity, disaster recovery, and lifecycle management. Key outcomes:, • Human and agentic workflows use one coherent API for discovering data, traversing relationships, and accessing specialized payloads., • Teams spend their time deciding how to model and use data rather than repeatedly deciding where and how to store it., • Data produced at the edge, in simulation, during testing, and in training flows into reusable platform models with minimal integration friction., • Portable and operational platform capabilities across all deployment environments., • Downstream teams can adopt the platform through stable APIs and SDKs instead of custom point-to-point integrations. Required qualifications:, • Significant experience designing and operating distributed data solutions, storage systems, or data-intensive backend services., • Strong software engineering skills and a record of delivering production systems in languages such as Go and Python., • Deep understanding of data modeling, API design, schema evolution, identity, consistency, indexing, query planning, and data lifecycle concerns., • Experience working across multiple storage modalities, such as relational or graph databases, object storage, analytical or columnar systems, and file storage., • Experience designing reliable ingestion and access paths for high-volume or operationally important data., • Strong understanding of Kubernetes, Linux, networking, security, storage, observability, and distributed-systems fundamentals., • Experience deploying data infrastructure across cloud or customer-managed environments using modern Infrastructure as Code and platform engineering practices., • Ability to evaluate technologies through prototypes, benchmarks, operational requirements, and total lifecycle cost rather than feature lists alone., • Experience defining architecture and technical standards while remaining hands-on in implementation and debugging., • Demonstrated ability to collaborate with ML researchers, autonomy engineers, test teams, platform engineers, and product stakeholders., • Clear technical communication and the ability to make complex data architecture understandable to both specialists and downstream users. Bonus qualifications and relevant technologies:Experience in any of the following is beneficial but not required:, • Experience with specialized modern databases (eg graph, OLAP, etc...), • Graph-backed retrieval, agent tooling, structured RAG, provenance-aware context construction, or explainable retrieval systems., • S3-compatible APIs, cloud object storage, content-addressable storage, multipart transfer, or large-file lifecycle management., • Apache Arrow, Parquet, columnar formats, time-series data, or high-performance analytical query systems., • OpenAPI, AsyncAPI, WebSockets, generated SDKs, and long-lived public API contracts., • Kubernetes storage and data operators, Terraform, Helm, GitOps, and repeatable platform distribution., • Distributed execution technologies such as Ray and experience connecting workflow execution to data lineage and artifact management., • Streaming and ingestion technologies such as Kafka, NATS, Redpanda, or comparable event-driven systems., • Data and analysis in a robotics or AI domain., • ML data lifecycle systems, experiment tracking, dataset management, evaluation infrastructure, feature or artifact stores, and model versioning., • Observability tools, distributed tracing, and benchmarking., • Data security, authorization, governance, retention, classification, and auditability across shared platforms. Why join us: The Data Platform is foundational to how Shield AI builds, evaluates, certifies, and improves autonomy. This role offers the opportunity to shape both a core internal platform and a reference architecture delivered into demanding customer environments. Your work will determine how effectively engineers and agents can find trusted context, understand provenance, aggregate data from distributed systems, and turn operational experience into better intelligent systems. You will work at the intersection of data systems, AI infrastructure, autonomy, distributed computing, and defense while helping establish the architecture that supports the next generation of mission-critical AI development. #LI-DM2#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI is seeking a Director of People Operations to lead and evolve our People Operations function as we continue to scale. In this role, you'll shape how we deliver an exceptional employee experience by building efficient, technology-enabled, and AI-powered processes that support every stage of the employee lifecycle. You'll balance strategic transformation with hands-on operational leadership, partnering closely with HR, Payroll, Finance, IT, Legal, and business leaders to create a high-performing, scalable People organization that enables our employees—and our business—to thrive. What you'll do:Strategic Leadership & Team Management • Define and execute a unified People Operations vision, operating model, and multi-year roadmap spanning candidate interviewing, hiring, employee onboarding and employee lifecycle operations., • Lead day-to-day operations, ensuring consistent, high-quality service delivery across the employee lifecycle., • Lead and scale a rapidly growing People Operations function through direct leadership, with full accountability for team performance, service quality, and outcomes across the candidate and employee lifecycle., • Establish team structure, capacity planning, KPIs, and operating rhythms to support hiring velocity, onboarding effectiveness, and ongoing operational excellence., • Serve as a strategic advisor to executives on workforce operations, hiring experience, service delivery, and AI enablement.Service Delivery & AI Enablement, • Transform People Operations into a self-service-first, AI-enabled support model., • Design and implement service delivery architecture, including automation, case management, and digital support channels to support rapid company scaling and global expansion., • Lead enterprise knowledge management to enable self-service and improve consistency and AI effectiveness., • Own and drive service performance, including SLAs, response times, quality, and employee satisfaction., • Establish governance for AI-enabled execution and support, ensuring accuracy, compliance, and appropriate escalation., • Continuously improve services through analytics, feedback, and process optimization., • Select and manage external vendors and platforms specific People Operations. Operational Excellence & Process Design, • Own end-to-end workforce lifecycle processes, from interview coordination and candidate logistics through onboarding, employee changes, and offboarding., • Ensure seamless handoffs between recruiting and employee operations to deliver a cohesive, high-quality experience., • Lead process redesign initiatives to improve hiring efficiency, onboarding speed, service quality, and risk reduction., • Establish policies, documentation, controls, and service standards., • Drive automation strategies to reduce manual effort and improve quality., • Ensure operational continuity and audit readiness., • Lead change management and adoption for new processes, tools and capabilities.Data Governance & Compliance, • Ensure accuracy, security, and integrity of employee data and workforce transactions., • Establish governance, audit, and validation practices to reduce risk., • Partner with HRIS, Payroll, Legal, and Finance to maintain compliance and alignment with internal controls., • Drive enterprise accountability for data quality across People systems.Technology & Enablement, • Partner with HRIS, IT, Talent Acquisition, and Digital teams to define and execute the People Operations technology roadmap., • Support adoption and optimization of platforms such as UKG, Jira Service Management, Ashby, and automation tools., • Translate business needs across the People Operations function into scalable systems and workflows.Analytics & Continuous Improvement, • Establish related service metrics, dashboards, and reporting frameworks., • Monitor SLAs, KPIs, and operational health indicators., • Use data to identify trends, inefficiencies, and opportunities for automation., • Drive continuous improvement and data-informed decision-making., • Measure service effectiveness, employee experience, and AI performance., • Evaluate emerging technologies, industry trends, and evolving best practices to continuously modernize and scale People Operations.Required qualifications:, • Bachelor’s degree in Human Resources, Business Administration, or related field., • 15+ years of progressive HR or People Operations experience in complex or high-growth environments., • 7+ years leading People Operations or HR Shared Services teams., • Experience designing and scaling shared services and service delivery models., • Proven track record of operational transformation, including automation and AI-enabled solutions., • Strong expertise in employee lifecycle operations, compliance, and data governance., • Experience partnering with HRIS and enterprise technology teams., • Demonstrated success with KPIs, SLAs, and operational reporting., • Strong leadership, communication, and stakeholder management skills.Preferred qualifications:, • Master’s degree or MBA in a related field., • Experience in technology, aerospace, defense, or high-growth industries., • Experience building AI-enabled service models and knowledge management systems., • Experience with UKG, Ashby and Jira, • Background in service management, digital transformation, or operational excellence., • Knowledge of Lean, Six Sigma, Agile, or ITIL methodologies., • Experience supporting multi-state or global workforce operations., • Relevant certifications (e.g., SHRM-SCP, SPHR, PMP, Lean Six Sigma, ITIL).#LI-AD7 Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building a next-generation aircraft like no other—one that will push the boundaries of innovation and performance. Shield AI is seeking a Communications Systems Engineer to lead the design, integration, and optimization of advanced communication systems for our next-generation autonomous aircraft. This is a high-impact role where you will be responsible for mission-critical data links, encryption, and secure communications, ensuring seamless interoperability between airborne, sensor, ground, and satellite systems. You will work across sensor fusion, RF systems, SATCOM, and AI-driven data processing to deliver an aircraft capable of operating in contested environments with low latency and high reliability. What you'll do: • Lead the development and integration of data links, encryption, and secure communication architectures into the aircraft platform., • Define system-level requirements and architectures for RF, SATCOM, optical, and software-defined radio (SDR) communication systems., • Optimize low-latency, high-bandwidth data transfer and encryption to ensure mission-critical performance., • Ensure seamless connectivity between the aircraft, command centers, and satellite networks, enhancing real-time data transmission and autonomy., • Develop AI-driven sensor fusion algorithms to enhance payload performance in high-threat environments., • Collaborate with avionics, software, and autonomy teams to ensure robust and secure system integration., • Validate performance through simulation, flight testing, and field deployments., • Work with DoD stakeholders and compliance teams to ensure mission readiness and adherence to cybersecurity standardsRequired qualifications:, • Bachelor’s or Master’s degree in Electrical Engineering, Aerospace Engineering, or related field., • 8+ years of experience in RF communications or mission systems integration for UAVs or military aircraft., • Strong expertise in RF systems, satellite communications (SATCOM), tactical data links (Link-16, CDL), and sensor integration., • Proficiency in software-defined radio (SDR) technologies and secure, encrypted data transmission., • Experience writing specifications for communications subsystems and architectures., • Knowledge of MIL-STD-1553, ARINC 429, and other aerospace data bus standards., • Experience working with classified communication protocols and DoD compliance., • Active Secret clearance., • Ability to obtain a S//SAR level security clearance desired.Preferred Qualifications:, • Experience working with AI-enhanced signal processing and sensor fusion for ISR missions., • Background in low-observable (stealth) communications architectures., • Familiarity with electronic warfare (EW) and RF threat mitigation techniques., • Experience supporting DoD or intelligence community mission operations., • Active Top Secret clearance or eligible to achieve, as well as SCI eligible.#LI-SM1#LF Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: • Own product definition, roadmap, and metrics across the office of the CTO's agentic AI portfolio: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data modernization and app development., • Translate CTO strategy into crisp requirements, milestones, exit criteria, and KPIs — then hold the line on them., • Drive adoption of internal platforms: reduce onboarding friction, instrument usage, track NPS and active users, and run developer advocacy and objection handling., • Shape product direction for foundation-model based autonomy architectures and model lifecycle tooling (evaluation, fine-tuning, verification, deployment)., • Run continuous discovery with engineers, operators, and executive stakeholders; turn findings into prioritized backlogs., • Prioritize ruthlessly across competing initiatives with small teams and aggressive timelines., • Analyze the agentic tooling, enterprise AI platform, and foundation model ecosystem; recommend build/buy/partner positions to leadership., • Author strategy documents, product briefs, and executive updates that drive decisions., • Manage transitions of maturing products from incubation to owning organizations.Required qualifications:, • 8+ years of product management for deeply technical products; engineering or CS background., • Technical fluency: you read code, work APIs and CLIs from a terminal, and prototype with AI coding tools yourself., • Shipped developer tools, internal platforms, or AI/ML products — and drove their adoption., • Working fluency in LLM-based systems: agents, evaluation, context management, fine-tuning trade-offs., • Metrics-driven operating style: you define KPIs, instrument products, and report against thresholds and objectives., • Exceptional written communication — requirements, strategy docs, executive briefs., • Proven stakeholder management up to the executive level across engineering, product, and business functions., • Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply., • This role requires travel to a Shield AI location 1-3 times per quarterPreferred qualifications:, • Prior experience as a software engineer., • Experience in defense, aerospace, or other regulated environments (CUI/ITAR, restricted or disconnected deployments)., • Experience with enterprise data platforms (e.g. Databricks) and ERP/business-system integration., • Experience with safety-critical or assurance-driven software processes (requirements traceability, V&V, certification artifacts)., • Experience taking zero-to-one internal products through incubation, adoption, and handoff., • Experience with robotics or autonomy products.#LI-KC3#LF Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast. As a Staff Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our emergent modeling & simulation tooling. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables robust automated testing for our next generation XBAT product line, and conduct system performance analysis. What you'll do: • Develop models and infrastructure for the integrated simulation pipeline in C++., • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release., • Implement test scenarios and write unit, system, and regression tests., • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios., • Contribute to platform-agnostic simulation tooling to accelerate current and future aircraft design and development efforts., • Perform verification and validation (V&V) analysis activities on modeling tools., • Conduct system performance analysis and generate reports and visualizations., • Utilize best practices in C++, simulation architecture, and performance engineering.Required qualifications:, • BS or MS in Computer Science, Aerospace, Robotics, or related field., • 7+ years of experience in simulation software development, with emphasis on modern C++ (C++17 or later) and performance optimization., • Strong understanding of rigid-body dynamics, kinematics, aerodynamics, and sensor mechanics., • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or autonomous systems., • Ability to debug complex build and runtime environments (CMake, package management, logging, and profiling tools)., • Experience with software testing tools (GTest, etc.), • Experience with simulation V&V., • Strong collaboration and communication skills across software, hardware, and systems disciplines., • Ability to obtain a S//SAR level security clearance desired.Preferred qualifications:, • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management., • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments., • Working knowledge of Python for data analysis, test automation, or simulation orchestration., • Familiarity with aircraft and flight physics modeling.#LI-SM1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI's Software Test & Automation Team is responsible for developing the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. The team provides objective evidence of software quality, reliability, and mission readiness by developing scalable automation frameworks, repeatable validation environments, and software readiness assessments spanning Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), and operational test environments. As the Software Test & Automation Manager, you will lead a multidisciplinary engineering team responsible for defining verification strategies, building automated validation capabilities, and establishing software readiness standards across a diverse portfolio that includes XBAT, VBAT, Weapons, Space, Maritime, and other emerging autonomy programs. You will partner closely with software engineering, systems engineering, platform integration, digital infrastructure, and flight test organizations to ensure autonomy capabilities are thoroughly validated and ready for operational deployment. This role is ideal for a technical leader who enjoys building high-performing engineering teams, developing scalable automation strategies, and improving software quality through modern verification and continuous validation practices. What you'll do: • Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations., • Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments., • Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity., • Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle., • Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines and expand continuous testing capabilities., • Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs., • Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams., • Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives., • Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization., • Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders. Required qualifications:, • Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations., • Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments., • Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity., • Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle., • Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines and expand continuous testing capabilities., • Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs., • Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams., • Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives., • Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization., • Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders. Preferred qualifications:, • Experience supporting autonomous systems, robotics, or unmanned platforms., • Experience with software quality tools such as SonarQube., • Experience with ROS., • Experience developing software readiness metrics, dashboards, and executive reporting., • Experience supporting DoD programs and customer demonstrations. #LI-LD1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We’re looking for a Staff Engineer to lead V-BAT’s fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs. You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight. What you'll do: • Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows, • Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products, • Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior, • Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success, • Standardize the team’s analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows, • Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows, • Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams, • Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards, • Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health, • Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis, • Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team Required qualifications:, • 5+ years of relevant experience with a Bachelor’s degree in Computer Science, Data Science, or a related technical field, • Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines, • Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems, • Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments, • Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations, • Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams Preferred qualifications:, • Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites, • Experience with Matlab, Jupyter, or similar analysis and visualization tools, • Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems, • Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging, • Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems #LI-SM1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is hiring a Hivemind Field Solutions Engineer to support technical sales, customer engagements, demonstrations, and capture activities for Hivemind across the Americas region. This role will serve as a customer-facing technical expert for Hivemind, helping translate customer mission needs into credible, technically feasible solutions. The FSE will partner closely with Business Development, Product, Engineering, Customer Engagement, and Program teams to support demos, technical interchange meetings, RFIs, RFPs, white papers, and customer-specific solution development. This position requires a strong technical foundation in autonomy, mission software, simulation, and AI-enabled systems. The ideal candidate will bring direct experience with Department of War simulation environments, live-virtual-constructive training and test ecosystems, synthetic environments, image-generation systems, and/or synthetic data workflows. This person should be comfortable explaining complex technical systems to customers, shaping demos around mission objectives, and feeding customer insights back into product and engineering teams. The Field Solutions Engineering team acts as a BD force multiplier, bridging Shield AI’s technical roadmap to customer needs and ensuring customer-facing solutions are accurate, feasible, and mission-relevant. Required qualifications: • 7+ years of experience in solutions engineering, field applications engineering, systems engineering, technical sales, autonomy, robotics, simulation, defense software, or related technical customer-facing roles., • Strong technical understanding of autonomy, AI-enabled systems, mission software, simulation environments, or complex defense technology systems., • Experience supporting customer-facing technical engagements such as demos, technical briefings, proposal support, integration discussions, or technical interchange meetings., • Demonstrated experience with one or more of the following areas: Department of War simulation systems, live-virtual-constructive environments, synthetic training environments, synthetic data generation, image-generation systems, simulation-based test and evaluation, or mission rehearsal workflows., • Ability to translate customer mission needs into technically feasible solution concepts, requirements, demos, and product feedback., • Strong written and verbal communication skills, with the ability to explain complex technical concepts to technical, operational, BD, and leadership audiences., • Ability to work cross-functionally with Business Development, Product Management, Engineering, Customer Engagement, and Program teams., • Strong judgment in representing product capabilities, limitations, and roadmap dependencies to customers., • Ability to manage ambiguity, prioritize competing demands, and execute in a fast-paced environment., • Willingness and ability to travel for customer engagements, demonstrations, exercises, and internal meetings., • Ability to obtain and maintain a U.S. security clearance.Preferred qualifications:, • Direct experience supporting Department of War simulation, modeling and simulation, test and evaluation, training, experimentation, or mission rehearsal programs., • Experience with LVC architectures, simulation interoperability, synthetic environments, constructive entities, digital twins, or operational test environments., • Experience with image-generation systems, synthetic imagery, AI-generated training data, computer vision datasets, sensor simulation, or perception model evaluation., • Hands-on experience with Python, Linux, APIs, SDKs, simulation tooling, autonomy software, robotics middleware, or technical prototyping., • Familiarity with autonomy development workflows, including simulation-in-the-loop, hardware-in-the-loop, software-in-the-loop, mission rehearsal, test automation, or scenario generation., • Experience working with U.S. DoD customers, defense primes, government labs, test ranges, training organizations, or operational units., • Experience supporting proposals, RFIs, RFPs, white papers, technical volumes, or capture activities., • Prior military, defense, aerospace, robotics, or advanced simulation experience., • Active U.S. security clearance.#LI-KC5#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. JOB DESCRIPTION: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast. As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. You will also conduct system performance analysis to evaluate expected and actual flight and mission performance using simulation tools and publish results for consumption by customers.What You'll Do • Develop models and infrastructure for the integrated simulation pipeline in C++, • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release., • Implement test scenarios and write unit, system, and regression tests., • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios., • Contribute to platform-agnostic simulation tooling to accelerate future development efforts, • Perform verification and validation (V&V) analysis activities on model tools., • Conduct system performance analysis and generate reports and visualizations., • Utilize best practices in C++, simulation architecture, and performance engineering.Required Qualifications, • BS or MS in Computer Science, Aerospace, Robotics, or related field., • 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization., • Strong understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics., • Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems., • Ability to debug complex build and runtime environments (CMake, CPM, package management, logging, & profiling tools)., • Experience with software testing tools (GTest, etc.), • Experience with model V&V., • Strong collaboration and communication skills across software, hardware, and systems disciplines., • Ability to obtain a S//SAR level security clearance desired.Preferred Qualifications, • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management., • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments., • Working knowledge of Python for data analysis, test automation, or simulation orchestration., • Familiarity with aircraft and flight physics modeling. #LI-SM1 Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: At Shield AI, we're building the most intelligent autonomous aircraft ever deployed. As we push the boundaries of what’s possible in contested environments, we are looking for a Survivability Engineer to shape and optimize the low observable (LO) performance of our next-generation autonomous aircraft. This role is ideal for an experienced engineer with expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You’ll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace. What you'll do: • Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration., • Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi., • Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one., • Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations., • Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints., • Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability., • Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.Required qualifications:, • B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline., • 10+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems., • Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi., • Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration., • Practical experience with LO testing methods and RCS measurement equipment., • Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies., • Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams., • U.S. Citizenship and active Secret clearance required.Preferred qualifications:, • Experience with military UAV platforms or 5th-gen fighter programs., • Background in survivability analysis in contested environments (e.g., IADS, radar networks)., • Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments., • Ability to contribute to the design, test, and fielding of a fully integrated LO platform., • Active Top Secret or SCI clearance.#LI-AD6#LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance. We are looking for an entry-level Power Electronics Engineer who is excited to help bring X-BAT’s next-generation power systems to first flight. In this role, you will own a meaningful project directly tied to our power architecture critical path, while receiving direct mentorship from senior power and electrical engineers. We value first-principles thinking, hands-on engineering, and extreme ownership.What you'll do: • Own a power electronics design that directly impacts X-BAT system performance and major flight test milestones, supported by a senior engineer who provides technical guidance and review., • Contribute to the full hardware lifecycle including concept development, modeling, worst-case analysis, schematic capture, simulation, prototyping, bring-up, verification, integration, and flight test support., • Design and analyze low-voltage and high-voltage power systems including DC-DC converters, inverters, motor controllers, battery systems, power distribution, and protection circuits., • Design systems across power ranges from <1 kW low-power loads to >10 kW high-power applications while balancing efficiency, thermal constraints, EMI/EMC performance, and reliability., • Partner with ECAD engineers on PCB layout for power density, thermal performance, EMI mitigation, and manufacturability., • Execute hands-on board bring-up, debug, root-cause analysis, and validation using oscilloscopes, power supplies, electronic loads, and other test equipment., • Support environmental, stress, and qualification testing (HALT, vibration, temperature cycling) for aerospace-grade reliability., • Collaborate closely with Mechanical, Embedded, Software, Production, and Aircraft teams to ensure robust system integration and clear interface ownership., • Drive disciplined engineering practices including documentation, risk reduction, and closing the loop between analysis and test results.Required qualifications:, • B.S. in Electrical Engineering or equivalent., • Strong technical fundamentals in circuits, electronics, and power systems., • Hands-on experience (coursework, labs, clubs, or internships) with power electronics such as converters, motor drivers, batteries, or high-power systems., • Familiarity with electrical design tools (Altium, KiCad, etc.)., • Experience using lab equipment such as oscilloscopes, power supplies, e-loads, and multimeters., • Participation in an engineering team/club or hands-on project experience.#LI-JM2#LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.