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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 Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: 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. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. • Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). #LI-DS-1 #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 Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field. You will... • Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing., • Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage., • Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks., • Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence., • Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams. Qualifications: • Undergrad required; Masters or PhD within an engineering discipline preferred., • 7+ years of automotive, robotics or closely related industry experience., • Experience with using simulation and real-world testing to make readiness decisions., • Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics., • Experience with building a strong safety case for autonomous vehicles., • Ability to communicate complex concepts or data in a simple-yet-accurate manner., • Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions., • Passionate about autonomy, solving hard problems, and creating innovative solutions. Bonus: • Experience in launching a driverless product., • Experience implementing software systems components., • Experience building software systems from scratch., • Experience in machine learning., • Proficiency with data mining and advanced statistical analysis. The US yearly salary range for this role is: $200,000 - $256,000 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits: Waabi provides a competitive benefits package that includes: • Competitive compensation and equity awards., • Health and Wellness benefits that include Medical, Vision and Dental coverage., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team 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: This staff engineer for mission systems will serve as a senior technical leader responsible for the end-to-end engineering of mission systems on advanced next-gen unmanned aircraft, including payloads, communications, avionics, weapons, and associated support systems. This individual will shape the technical direction of programs, ensuring that the aircraft deliver decisive mission capabilities through robust, integrated, and certifiable system designs. In this role, the engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding. They will ensure that payloads, avionics, and weapons are seamlessly integrated into the aircraft while meeting mission performance, safety, airworthiness, and compliance objectives. What You'll Do: • Lead system architecture and requirements development and integration for payloads, avionics, and weapons integration, • Serve as a technical subject matter expert for mission systems engineering across the aircraft program, • Drive trade studies and system-of-systems analysis to balance performance, cost, and schedule, • Oversee integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test, • Ensure compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards, • Collaborate with program management to de-risk architectures and ensure technical maturity gates are met, • Interface with customers, partners, and suppliers to align system requirements and certificationsRequired Qualifications:, • B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, • Typically requires a minimum of 7 years of relevant Aerospace/defense experience, with at least 5 years in mission systems integration., • Demonstrated experience with aircraft payloads, avionics, and/or weapons integration, • Demonstrated experience with line-of-sight and beyond line-of-sight aircraft communications systems and components, • Working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA) or modular avionics standards, • Proven ability to lead multidisciplinary teams and deliver complex systems to fielded capability, • Strong knowledge of systems engineering processes and product development lifecycle, • Familiarity with DO-178C/DO-254 certification requirements for software and hardware, • Excellent communication skills and ability to brief technical findings to executives and customers, • Active Secret clearance and have the ability to obtain a Top-Secret clearancePreferred Qualifications:, • Master’s or PhD in Aerospace, Systems, or Electrical Engineering, • Hands-on experience with flight test operations and mission system validation, • Direct experience integrating advanced sensors, autonomy, AI-enabled payloads, or guided weapons, • Background in model-based systems engineering (MBSE) and SysML tools, • Strong knowledge of current aircraft mission systems vendors and capabilities, • Active DoD Top Secret clearance #LI-JM2 #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 Senior Engineer, you will develop and own major features from end-to-end, from design through operational deployment, and work closely with cross-functional teammates to achieve program goals. You’ll also take an active role in mentoring more junior engineers and may directly interface in customers in limited capacities. 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 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 Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making Significant experience with unmanned system technologies and accompanying algorithms (ideally in the maritime domain specifically) Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) 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 or higher Preferred Qualifications: Experience in multiple 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 Experience in applied research and development 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 About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $60–$120/hour Location: Remote Role Responsibilities • Develop high-quality data sets to inform the future of AI innovation., • Create challenging problems in your domain to advance AI model training., • Collaborate with AI research teams to enhance model outputs., • Work independently and asynchronously with flexible hours., • Elevate the quality of training data through rigorous evaluation. Qualifications Must-Have • PhD or advanced degree in Medicine, Healthcare, Statistics, Data Science, AI/ML Research, Computer Science, Electrical Engineering, Earth & Environmental Science, Game Development, or Mechanical/Aerospace Engineering., • High attention to detail., • Exceptional written and verbal communication skills. Interview Process • Complete a short interview and task (20–30 mins). Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

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: The VBAT Software team is a motivated group of engineers focused on developing complex avionics software that merges hardware, operating systems and applications for cutting-edge Unmanned Aerial Vehicles (UAV). Embedded Software engineers work with customer programs, electrical engineers, Guidance, Navigation and Controls (GNC) engineers, systems engineers, test engineers and the autonomy team to design and develop software systems which utilize modern aerospace sensors, state-of-the-art UAV avionics, and groundbreaking Artificial Intelligence applications. As a member of the VBAT Software team, you will develop and maintain software architectures, generate and maintain all levels of software requirements, document and present software designs, coordinate software development, and marshal the entire suite of VBAT software through test and verification, release, and deployment to production and customers. What you'll do: • Develop high-quality C/C++ code tailored specifically for V-Bat aircraft, ensuring optimal performance, reliability, and safety., • Refine repository of existing firmware to support new hardware, features, and capabilities, • Integrate real-time operating system onto custom System-On-a-Module (SOM), • Develop firmware to control robotic vehicles in flight, • Convert legacy bare-metal software to a RTOS based system, • Create new CI/CD pipelines with automated testing for embedded systems, • Participate in architecture, design, and code reviews, • Integrate software from multiple departments to include firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS), • Develop software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads, • Facilitate the design process for updates to the software system architecture, • Use modern software development tools and processes to capture our existing architecture and design future architectures, • Collaborating to define and extend systems engineering processes, • Report status, risks, accomplishments, expectations to senior leadership, • Work with the V-Bat production teams to manufacture UAVs in-house., • Design and implement systems capable of conducting tests across various environments, including virtualized hardware and hardware-in-the-loop simulations, to facilitate thorough evaluation of software functionality and performance., • Develop innovative tools to enhance the frequency and reliability of software deployment, test execution, and data analysis within a continuous integration and release system, fostering improved efficiency and productivity in software development workflows., • Create prototypes to validate critical design concepts and assess technical limitations, providing tangible evidence of feasibility and informing decision-making processes. Required qualifications:, • Rock-solid software development experience in C/C++, • Experience in bare-metal firmware development for embedded systems, • Linux Kernel or RTOS development - device trees and bring up on new hardware, • Familiarity with writing thread-safe multi-threaded programs, • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes, • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed client expectations in a fast-paced environment, • Proactively identify opportunities for improvement within software development projects, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and V-Bat reliability, • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering Preferred qualifications:, • Experience working on cutting-edge autonomous robotic systems including motor control, • Proven background in thriving within fast-paced environments, particularly within startup or R&D settings, • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. #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 DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job Description About One Park Financial One Park Financial, a leading provider of financing solutions for small and mid-sized businesses, has been consistently recognized as a top workplace for seven consecutive years, earning both the Best Place to Work and Sun Sentinel's Top Places to Work awards. As a fast-paced and innovative financial services company, we take immense pride in disrupting the industry and positively impacting the lives of business owners nationwide. At One Park Financial, excellence and results are celebrated, and your skills and passion will be recognized and rewarded, providing opportunities for both professional and personal growth. About the VP of Credit & Business Intelligence Reporting directly to the SVP of Credit & Analytics, the successful candidate will oversee the Credit Policy & Analytics function for small business financing and emerging embedded finance products. This pivotal role aims to empower small businesses by managing the risk appetite through advanced decisioning models, growth strategies, reporting, and analytics vital to the organization. Requirements Job Responsibilities • Own Credit Policy & Analytics across the organization – Credit Origination, Account Management, Portfolio monitoring, Collections and Loss/Growth Forecasting., • Lead development, validation and implementation of advanced AI/ML models and strategies to expand small business access to finance, taking intelligent risks., • Develop and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and growth opportunities., • Support effective challenge of Business Operations through Data & Data Science based Business Intelligence rhythms., • Partner with Product, Engineering and Operations to productionize strategies in decision engines, while ensuring data quality, monitoring and controls., • Leverage Open Banking (Plaid), Credit (Commercial & Personal), Business Identity, Fraud and validation sources to evaluate improvements in our Credit strategy and merchant experience., • Identify areas to reshape user flows, reduce customer friction and optimize the credit funnel., • Manage Analytics infrastructure needs for proactive highlighting of issues that need to be addressed and prioritized in the organization., • Manage Executive discussions on Analytics prioritization for the most pressing business needs., • Coach, Mentor and Develop the Analytics team to turn into effective Credit & Business Intelligence champions and credit policy owners. Job Requirements • 8-10 years of credit and/or analytics experience at Fintechs or Credit institutions, with 3+ years of direct merchant / SMB risk experience preferred., • Deep knowledge of underwriting using bank & cash-flow analysis, bureau & alternate data, bureaus etc. with a focus on unsecured credit risk., • 5+ years of leading teams (data science, analytics, risk policy) and scaling analytics functions at a growing organization., • Proven track record of implementing business intelligence-based optimization strategies (reporting & alerting) with P&L impact., • Fluency in SQL and Python or R; experience with BI tools (PowerBI/Tableau) and cloud data platforms (Snowflake/AWS/Databricks)., • Outstanding leadership, communication, and interpersonal skills, with the innate ability to inspire and motivate a team., • Bachelors in a quantitative field; advanced MS/PhD qualifications are a plus. Benefits • Dental Insurance, • Health insurance, • Vision insurance, • Paid time off, • 401k with Match, • Company Paid ID Protection, • Company Paid Life Insurance

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 Description Employment Details: • Recognized Civil Infrastructure Consulting firm in the US & Canada, • 100% employee owned, • Full Benefits: Health, Vision, Dental, and 401K match, • Sign on bonus opporunity, • Paid OT and Annual Performance Bonus Responsibilities: • Conduct structural analysis, design review, and project management activities for water and wastewater municipal facilities that include steel, masonry, and reinforced concrete materials, • Manage Structural Engineering responsibilities of Water/Wastewater projects across the region from planning, construction, and commissioning, • Mentor junior and mid-level Structural Engineers, • Prepare reports, develop plans, and specifications, • Prepare cost estimates for various Structural projects, • Makes site visits to observe during construction and operation Qualifications: • Bachelor’s degree in Structural Engineering, • Registration as a Professional Engineer or Structural Engineer in Texas, • 10 - 15 years of experience as a Structural Engineer, preferably in the Civil Wet Infrastructure and Water Storage space, • Strong design experience of Steel, Masonry, & Reinforced-Concrete structures and proficiency in using STAAD, RISA 3D, Excel, TEDDS, Microstation and AutoCAD, • Extensive experience with medium and large-scale municipal projects that include storage tanks, water treatment facilities, and other supporting structures for Water/Wastewater related facilities, • Masters degree in Civil or Structural Engineering (+) or a PhD in Structural Engineering (+)

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 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 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. Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship! Are you a passionate and innovative Electrical Engineering student looking to help develop state-of-the-art AI 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! Join us and help define elegant, high-performance computing, sensing, communication, and power systems. Project Scope & Description: • Own requirements gathering, design, and validation of multiple avionics assemblies and/or test fixtures., • Gain expertise in multiple disciplines within EE as you design systems for power electronics, communications, RF, and more., • Design test stands and test fixtures, which may include relays, PLCs, PCBAs, harnessing, and various other pieces of electrical and mechanical equipment., • Utilize Python to automate test sequences, perform analysis, or run simulations., • Contribute to and attend cross-functional design reviews. Advocate for design changes that result in simpler manufacturing processes., • Other duties as assigned.Required qualifications:, • You are an undergraduate, graduate or PhD student pursuing a degree in Electrical Engineering or related STEM field., • Strong understanding of fundamental engineering concepts, including EE, Mech E, Programming, Physics, and Mathematics., • Experience working on multidisciplinary hardware development projects, which can be from an internship, job, club, team, personal project, etc., • Great written and verbal communication., • Demonstrated history of showing ownership of project outcomes and delivering exceptional results., • Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.Preferred qualifications:, • Expected to graduate in December 2027 or Spring 2028., • Experience with PCB schematic and layout tools, including Altium, KiCAD, Eagle, etc…, • Experience with Python or any scripting language., • Experience with CAD tools such as SolidWorks, NX, CATIA, etc…, • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful $38- $73 an hour - Your salary will be determined by academic level. Pay is just one part of your total rewards package at Shield AI. You may also be eligible for a stipend to subsidize relocation costs. As an intern, you will receive the opportunity to attend presentations from company leaders, social and networking events, as well as mentorship from current Shield AI Engineers. Interns are also eligible for paid company holidays. #intern Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location. ### 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: We are seeking a highly motivated Ground System Software Engineer to design, develop, and maintain software systems for the X-BAT Platform. This role focuses on building robust ground control stations, mission planning tools, communication interfaces, and infrastructure that enable the X-BAT mission, and supports operational requirements safe and efficient drone operations. You'll work at the intersection of all major components of the X-BAT Platform and its systems, providing user-facing applications to operate X-BAT and supporting equipment or vehicles, and will be collaborating closely with our Aircraft Software, Hivemind, and Flight Test teams to design this state-of-the-art ground system. What you'll do • Design, develop, and optimize next-gen ground control software that enables low-latency communication with UAVs and other autonomous platforms., • Build high-performance full-stack applications that support telemetry processing and fusion, mission planning, and real-time situational awareness., • Implement responsive user interfaces with React and TypeScript for telemetry readout and sensor feeds, operator workflows, and mission/vehicle state., • Collaborate closely with teams across autonomy, embedded systems, human factors, and UX to deliver integrated, field-ready solutions., • Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance., • Lead and/or participate in development efforts on key features or subsystems, from early design through deployment and iteration., • Write high-quality, well-tested code and participate in peer design/code reviews.Required qualifications:, • Senior: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 5+ years of professional software development experience, or Masters with 4+ years, or PhD with 2+ years., • Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 7+ years of professional software development experience, or Masters with 6+ years, or PhD with 4+ years., • Senior Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 9+ years of professional software development experience, or Masters with 8+ years, or PhD with 6+ years., • Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration., • Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js., • Strong software engineering fundamentals including version control, testing, debugging, and performance profiling., • Proven ability to deliver high-quality software as part of a collaborative engineering team., • Experience building distributed systems or networked applications, • Experience developing user interfaces (e.g., React, Vue, QT, or similar frameworks), • Strong debugging, problem solving, and system integration skills, • Speed and proficiency without the use of Generative AI tools (due to the nature of our work, these are prohibited), • Ability to work in a fast-paced, cross-functional engineering environment, • Ability to obtain security clearancePreferred qualifications:, • Experience with GCS software, mission planning tools, or real-time visualization platforms., • Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats., • Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink., • Experience with UAS platforms and AI/ML systems., • Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices., • Exposure to distributed systems and cloud integration for telemetry data pipelines and sensor fusion., • Understanding of security best practices in control systems and networked applications., • Exposure to cybersecurity best practices for embedded or distributed systems, preferably within Gov and/or Defense environments #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 DescriptionJob Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives., • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation., • Develop, refine, and evaluate prompts for AI models., • Conduct quality assurance and rubric-based evaluations of AI-generated outputs., • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content., • Provide actionable feedback and recommendations to improve AI model performance., • Collaborate remotely with project teams to support continuous AI improvement.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical & Report Writing, • Business Communication, • Content Review & Editing, • Data Interpretation, • Data Annotation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations., • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations., • Strong professional writing, business communication, and technical editing skills., • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities., • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus., • Candidates with strong academic or professional achievements are encouraged to apply

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: At Shield AI, we are revolutionizing defense technology to protect service members and civilians with intelligent, autonomous systems. Our Hardware Test Engineering team plays a critical role in ensuring the V-BAT remains the most reliable, mission-ready UAV in the industry. We design cutting-edge test solutions—custom-built electrical and mechanical systems that push our hardware to its limits in real-world and extreme environments. As an Electrical Engineer on our Hardware Test team, you’ll have the opportunity to design and automate test systems that validate everything from power electronics to RF communications. You'll work hands-on with PCB design, Python scripting, and advanced environmental testing (HASS, ESS, HALT) to ensure the highest standards of reliability. If you're passionate about building rock-solid hardware and thrive in a fast-paced, multidisciplinary environment, this role is for you. What you'll do: • Design and own test systems for critical UAV components and subsystems, from concept to validation., • Work across multiple EE disciplines, including power electronics, RF, communications, and system integration., • Develop PCBs to interface between test stands and the device-under-test (DUT)., • Build custom test fixtures integrating relays, PLCs, PCBAs, and harnessing for automated and high-fidelity testing., • Automate test sequences using Python, ensuring repeatability, efficiency, and scalability., • Collaborate in cross-functional design reviews, advocating for testability improvements that streamline hardware validation., • Adapt and innovate in a fast-moving, high-stakes environment, where your work directly impacts mission success., • Other duties as assigned.Required qualifications:, • B.S. in Electrical Engineering or equivalent hands-on experience OR you are an undergraduate, graduate or PhD student expected to graduate in 2026., • Strong foundation in electrical, mechanical, and software engineering principles., • Experience in multidisciplinary hardware projects—whether through internships, jobs, clubs, personal projects, or research., • A track record of ownership, innovation, and delivering results in complex technical environments., • A team-first mindset, holding yourself and others to high standards, while being adaptable and solution-oriented., • A track record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.Preferred qualifications:, • Proficiency in Python or other scripting languages for automation., • Experience with PCB design tools (Altium, KiCAD, Eagle, etc.)., • Familiarity with CAD tools (SolidWorks, NX, CATIA) for mechanical fixture design., • Ability to problem-solve under pressure and pivot quickly in a dynamic, fast-paced engineering environment. #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 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 Why This Role Matters Senior Staff Software Engineers are the connective tissue across engineering at Bluestaq. You don't just own a system—you influence how multiple teams build their systems. The platform improvements you drive, the standards you establish, and the coaching you provide to Staff and Senior engineers produce compounding effects on delivery speed and quality across the organization. Your decisions directly affect the reliability, security, and scalability of the software Bluestaq's customers and mission partners depend on. Key Responsibilities • Lead engineering efforts that span multiple teams or product areas, including major re-architectures, new platform capabilities, and cross-cutting reliability or security programs, • Serve as a key technical partner for program leadership, product management, and cross-functional leads, • Design and drive implementation of large-scale architectures: platform components, shared libraries, major system migrations, and cross-product integrations, • Apply deep expertise across the full stack—backend, frontend, data, and infrastructure—to navigate complex performance, scalability, reliability, and security tradeoffs, • Drive improvements in core engineering practices across multiple teams: testing strategy, observability, CI/CD pipelines, coding standards, and security posture, • Identify and reduce unnecessary technical fragmentation by harmonizing patterns, tooling, and shared standards across engineering groups, • Own cross-team technical outcomes with minimal direction, anticipating long-term risk and downstream impact before they become urgent, • Coach Staff and Senior engineers to run their own domains effectively and grow into broader technical leaders, • Represent engineering in high-level technical discussions about roadmap priorities, architectural tradeoffs, and organizational investment decisions, • Lead multi-team initiatives from concept to rollout, aligning multiple engineering groups around shared goals and compatible designs, • Recognize systemic weaknesses,test fragility, performance gaps, security posture, developer experience—and design programs to address them at scale Required Qualifications • Exceptional proficiency across multiple software engineering domains: distributed systems, API design, data architecture, frontend or backend development, and platform engineering, • Demonstrated ability to lead multi-team technical initiatives from concept through production at organizational scale, with measurable impact on reliability, performance, or engineering velocity, • Deep expertise in large-scale system design, platform architecture, and cross-cutting technical strategy spanning multiple stacks and deployment environments, • Strong track record of driving cross-team engineering improvements in testing, observability, CI/CD, security, or shared infrastructure, • Proven ability to identify and resolve systemic technical risks and fragmentation across multiple codebases and teams, • Demonstrated success coaching and developing Staff-level engineers into broader technical leaders, • Excellent technical communication skills: ability to influence and align multiple engineering teams behind shared architectural decisions, patterns, and standards, • Experience navigating cross-team organizational dynamics and delivering technical outcomes across reporting boundaries without formal authority Preferred Qualifications • Experience designing or owning shared platforms, internal developer tooling, or cross-cutting infrastructure components used across multiple product teams, • Background in large-scale system migrations, performance engineering programs, or multi-year reliability initiatives, • Deep familiarity with DoD, intelligence community, or federal software delivery and security standards including RMF, NIST 800-53, or STIG compliance, • Experience managing architectural technical debt at scale and driving simplification programs across large, complex codebases, • History of developing Staff-level technical talent through direct coaching, structured mentorship, or technical leadership programs, • Contributions to engineering strategy, hiring, or technical community beyond immediate team scope, • External recognition as a technical leader: publications, conference presentations, open-source project ownership, or standards contributions Required Experience and Education: • PhD in Computer Science, Engineering, or a related field and 6+ years of software engineering or related experience, OR, • Master's degree in Computer Science, Engineering, or a related field and 8+ years of software engineering or related experience, OR, • Bachelor's degree in Computer Science, Engineering, or a related field and 10+ years of software engineering or related experience, OR, • Associate degree in a related field and 12+ years of software engineering or related experience, OR, • High School Diploma/GED and 14+ years of software engineering or related experience. Location Requirement Colorado Springs, CO · Washington, DC · Dallas, TX · Salt Lake City, UT • Colorado Springs is our HQ with an established office — 3–4 days on-site per week., • DC, Dallas, and Salt Lake City-based roles will be remote until offices are established there, and then will require 3–4 days on-site. You use modern AI tools with judgment: integrating them into workflows where they're impactful, reviewing their outputs, and handling proprietary or sensitive data responsibly. Salary Range (CO) $150,000—$210,000 USD Clearance Requirement: This position may require an active TS/SCI Clearance. Current clearance holders are strongly encouraged to apply. If you don't currently hold one, Bluestaq will sponsor eligible candidates through the clearance process based on program needs. Relocation: Relocation assistance is available for full-time positions. About Bluestaq At Bluestaq, we build secure data platforms that matter for space missions, national defense, healthcare systems, and commercial innovation. Founded in 2018, we've become a leader in enterprise software and secure data management by staying focused on what counts: modern architecture, operational excellence, and mission impact. We're engineers, problem-solvers, and builders who take the mission seriously, but not ourselves. We automate the repeatable, question the status quo, and design systems that are as reliable as they are scalable. Whether we're supporting space, defense systems, or healthcare advancements, we build with the same principles: cloud-native solutions, security by design, and relentless simplicity. What We Offer: For full-time positions • 100% employer-paid health, dental, and vision for you and your dependents, • Up to 6% match to 401(k) contributions with additional discretionary 4% profit share on day one. Roth options available; no vesting period., • Every role is eligible for an annual performance bonus, • $200,000 employer-paid life insurance, plus short- and long-term disability coverage, • $5,000 annual professional development budget per employee, • 20 days PTO, plus 8 paid holidays, • Pet insurance, onsite gym, and flexible schedule Bluestaq is an Equal Opportunity Employer. We prohibit unlawful discrimination against applicants or employees on the basis age 40 and over, color, disability, gender identity, genetic information, military or veteran status, national origin, race, religion, sex, sexual orientation, or any other status protected by state or local law. Bluestaq will make reasonable accommodations for qualified individuals with known disabilities and employees whose work requirements interfere with a religious belief unless doing so would result in an undue hardship to Bluestaq or a direct threat. Employees needing such accommodation are instructed to contact Human Resources immediately at contact.us@bluestaq.com. Applications will be accepted for 60 days beyond the posting date, or until the position is filled, whichever comes first.

Job Description AI Engineering Manager 11049 Our client is seeking an experienced Staff Engineer, Applied AI to lead a team of AI Engineers and Data Scientists responsible for developing, deploying, and managing enterprise AI solutions. This individual will provide technical leadership, drive AI initiatives from concept through production, and partner with business stakeholders to deliver measurable business results. Key Responsibilities Lead and mentor a team of Applied AI Engineers and Data Scientists. Oversee the full AI/ML lifecycle, including model development, deployment, monitoring, and optimization. Establish technical standards and best practices for AI engineering, MLOps, and production deployment. Develop and implement solutions involving Generative AI, Large Language Models (LLMs), predictive analytics, and intelligent automation. Partner with Data Engineering, Business Intelligence, and business stakeholders to identify and execute AI initiatives. Evaluate AI technologies, platforms, and vendors while driving technical strategy and roadmap development. Ensure AI solutions are scalable, reliable, secure, and aligned with business objectives. Required Skills & Qualifications Experience: 10+ years in Data Science, Machine Learning, or Applied AI Engineering, including 3+ years managing technical teams. Programming & ML Frameworks: Advanced Python, scikit-learn, PyTorch or TensorFlow, and pandas. Generative AI & LLMs: Hands-on experience with Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and fine-tuning. Production AI/ML: Proven experience deploying, monitoring, and maintaining machine learning models in production environments. MLOps: Experience with CI/CD pipelines, model versioning, drift detection, automated retraining, and infrastructure automation. Cloud Platforms: AWS (SageMaker, Bedrock) or comparable cloud-based AI/ML technologies. Data Technologies: Strong SQL skills and experience with Snowflake, Databricks, or similar enterprise data platforms. Leadership: Demonstrated experience managing AI/ML technical teams, establishing technical direction, and delivering enterprise AI solutions. Business Impact: Ability to translate business requirements into AI solutions and demonstrate measurable business outcomes. Education: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, or equivalent experience. Preferred Qualifications Master's degree or PhD in a related field. AWS or other cloud certifications. Experience in restaurant, retail, consumer services, or multi-location business environments. Experience with computer vision, forecasting, and intelligent automation. Familiarity with Agile methodologies. #ZR \nCompany Description Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We’ve been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the “Best Places to Work” multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals. Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We’ve been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the “Best Places to Work” multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.

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. Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship! Job Description: The mechanical engineering team is responsible for mechanical design and development projects for Shield AI's autonomous UAV products. We follow a rigorous design process, as we innovate, prototype, test, and release creative design solutions. We work with cross-functional teams to ensure the successful development and launch of new products. Intern Project Scope & Description: • Own requirements gathering, design, and validation of multiple test stands used to test components and subsystems on X-BAT or V-BAT, • Design tooling to hold devices-under-test (DUTs) during environmental testing., • Design test stands and test fixtures that interface with engines, electric motors, circuit boards, and various other aeronautical components., • Specify facilities requirements (electrical, plumbing, etc…) for environmental test chambers., • Contribute to and attend cross-functional design reviews. Advocate for design changes that result in simpler testing processes., • Other duties as assigned.Required qualifications:, • You are an undergraduate, graduate or PhD student pursuing a degree in Mechanical Engineering or related STEM field., • Strong understanding of fundamental engineering concepts, including EE, Mech E, Programming, Physics, and Mathematics., • Experience working on multidisciplinary hardware development projects, which can be from an internship, job, club, team, personal project, etc., • Great written and verbal communication., • Demonstrated history of showing ownership of project outcomes and delivering exceptional results., • Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.Preferred qualifications:, • Experience with CAD tools such as SolidWorks, NX, CATIA, etc… (NX preferred)., • Ability to rapidly manufacture your designs in a machine shop., • Experience working with internal combustion engines. This could be in design, tuning, and/or assembly., • Familiarity with designing mechanical tooling or test fixtures., • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful $38- $65 an hour - Your salary will be determined by academic level. Pay is just one part of your total rewards package at Shield AI. You may also be eligible for a stipend to subsidize relocation costs. As an intern, you will receive the opportunity to attend presentations from company leaders, social and networking events, as well as mentorship from current Shield AI Engineers. Interns are also eligible for paid company holidays. Intern Program Dates:June 1st - Aug 7thORJune 22nd - Aug 28th*You MUST be available to start on EITHER June 1st or June 22nd.#intern #intern Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location. ### 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 Job Description: Work with OR&AA team members and IT partners to gather requirements, ask questions, and influence our product and business unit teams to deliver high value/impact features to our products. Day-to-day: Works on the mathematical optimization model at the heart of a task assignment model adhering to some complex work rules • Formulate and maintain the MIP, • Translate real business rules into formulation with planners, • Drive the model through the FICO Xpress Java API, generate/inspect .lp files and solver logs., • Tune the solver; mip-gap, mip-abs-gap, threads, random seed, determinism; reason about branch-and-bound performance and runtime., • Keep the model solver-agnostic behind the LinearExpression / LinearConstraint / Sense / Sign abstraction so it stays testable and portable., • Validate & benchmark solutions, • Analyze data stored in Azure ADLS to debug the model and find issues; mine input/output datasets and solver logs to surface data-quality and infeasibility problems, derive insights, diagnose root causes, and resolve modeling bugs (e.g., bad defaults, constraint conflicts)., • Build and maintain the Streamlit dashboard (Python) that visualizes optimizer solutions - code and ship changes directly., • Work fluently with AI coding agents (Claude / Copilot / similar) to prototype and change models, scripts, and the dashboard fast without lowering the bar on correctness or code quality., • Partner closely as a team player with the Java engineer to productionize the model and with planners/SMEs to capture and verify rules; document assumptions and limitations. Top 3 Mandatory Skills and Experience (EX: education, software skills, licenses or certifications, etc.): 1. Mixed-Integer Programming (MIP) modeling; formulating real-world business rules as decision variables, linear constraints, and objectives; LP/IP theory; branch-and-bound intuition., 2. Commercial solver experience; FICO Xpress (strongly preferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solver tuning (gaps, threads, seeds, determinism) and reading solver logs /.lp files., 3. Programming to implement model & visualize model solutions; Java (the model lives in Java behind a solver abstraction); Python (incl. Streamlit for the dashboard); able to code and ship changes in both programming languages. Also required: comfortable using AI coding agents (Claude / Copilot) for fast changes; high coding standards; a collaborative team player (open to ideas/feedback, no solo work); a fast learner. (Education: MS/PhD in OR / IE / Applied Math / CS-optimization or equivalent.) Nice to Have Skills and Experience (preferred but not required): Java 21 / Spring Boot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit 5) for optimization models (LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/metaheuristics/CP as complements to MIP; data analysis & debugging; mining datasets (incl. Azure ADLS) and solver logs to find issues and derive insights; data wrangling (CSV/Excel/SQL); Git/GitHub, MongoDB Compass, Maven, Docker; aviation / MRO domain. Describe a great candidate that you are looking for and what skills and experience they will have: A hands-on optimization scientist who has shipped MIP models into production, not just notebooks. They can sit with a maintenance planner, extract fuzzy operational rules, and turn them into correct, well-scoped linear constraints then make the model solve fast enough to be useful (gap/seed/thread tuning, reformulation, branch-and-bound reasoning). They write maintainable, tested code behind a solver-agnostic abstraction, validate feasibility rigorously, and communicate trade-offs (objective design, soft vs hard constraints, default-value handling) to both engineers and business stakeholders. Genuine FICO Xpress (or Gurobi/CPLEX) depth is the rare, critical differentiator. They hold high standards for their code, are a collaborative team player (open to ideas and feedback, no solo work), use AI coding agents (Claude / Copilot) to iterate quickly, comfortably build/change a Streamlit dashboard, and are a fast learner. Perform analysis and derive insights from data. What is the team environment and structure like?: Part of the OR & Advanced Analytics (OR&AA) - TechOps/Mechanics squad. A cross-functional team of OR scientists, software engineers, and TechOps planning SMEs, working agile with strong engineering hygiene (PR review, Sonar/JaCoCo/PIT, TechDocs) governed by the AA AI Constitution (Spec-Driven Test-Driven Development). High collaboration with Maintenance operations stakeholders. How will the resource(s) fit into your team?: They define the variables, constraints, and objective behind the abstraction layer and own solution quality and solver performance, while the Java engineer owns the surrounding service, data integrations, and deployment. Together they form the core "Java/Spring engineering MIP optimization" pairing that makes this a specialized OR product team rather than a standard microservice squad. They also interface directly with Maintenance Planners to validate that optimizer output beats the manual baseline

Job Description Job Description: Job Title: OR Scientist@ Dallas, TX Onsite $53/hr on W2 Job Description: Work with OR&AA team members and IT partners to gather requirements, ask questions, and influence our product and business unit teams to deliver high value/impact features to our products. Day-to-day: Works on the mathematical Eligible to workimization model at the heart of a task assignment model adhering to some complex work rules " Formulate and maintain the MIP " Translate real business rules into formulation with planners " Drive the model through the FICO Xpress Java API, generate/inspect .lp files and solver logs. " Tune the solver; mip-gap, mip-abs-gap, threads, random seed, determinism; reason about branch-and-bound performance and runtime. " Keep the model solver-agnostic behind the Linear Expression / LinearConstraint / Sense / Sign abstraction so it stays testable and portable. " Validate & benchmark solutions " Analyze data stored in Azure ADLS to debug the model and find issues; mine input/output datasets and solver logs to surface data-quality and infeasibility problems, derive insights, diagnose root causes, and resolve modeling bugs (e.g., bad defaults, constraint conflicts). " Build and maintain the Streamlit dashboard (Python) that visualizes Eligible to workimizer solutions - code and ship changes directly. " Work fluently with AI coding agents (Claude / Copilot / similar) to prototype and change models, scripts, and the dashboard fast without lowering the bar on correctness or code quality. " Partner closely as a team player with the Java engineer to productionize the model and with planners/SMEs to capture and verify rules; document assumptions and limitations. Top 3 Mandatory Skills and Experience (EX: education, software skills, licenses or certifications, etc.): 1. Mixed-Integer Programming (MIP) modeling; formulating real-world business rules as decision variables, linear constraints, and objectives; LP/IP theory; branch-and-bound intuition., 2. Commercial solver experience; FICO Xpress (strongly preferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solver tuning (gaps, threads, seeds, determinism) and reading solver logs /.lp files., 3. Programming to implement model & visualize model solutions; Java (the model lives in Java behind a solver abstraction); Python (incl. Streamlit for the dashboard); able to code and ship changes in both programming languages. Also required: comfortable using AI coding agents (Claude / Copilot) for fast changes; high coding standards; a collaborative team player (open to ideas/feedback, no solo work); a fast learner. (Education: MS/PhD in OR / IE / Applied Math / CS-Eligible to workimization or equivalent.) Nice to Have Skills and Experience (preferred but not required): Java 21 / Spring Boot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit 5) for Eligible to workimization models (LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/metaheuristics/CP as complements to MIP; data analysis & debugging; mining datasets (incl. Azure ADLS) and solver logs to find issues and derive insights; data wrangling (CSV/Excel/SQL); Git/GitHub, MongoDB Compass, Maven, Docker; aviation / MRO domain. Describe a great candidate that you are looking for and what skills and experience they will have: A hands-on Eligible to workimization scientist who has shipped MIP models into production, not just notebooks. They can sit with a maintenance planner, extract fuzzy operational rules, and turn them into correct, well-scoped linear constraints then make the model solve fast enough to be useful (gap/seed/thread tuning, reformulation, branch-and-bound reasoning). They write maintainable, tested code behind a solver-agnostic abstraction, validate feasibility rigorously, and communicate trade-offs (objective design, soft vs hard constraints, default-value handling) to both engineers and business stakeholders. Genuine FICO Xpress (or Gurobi/CPLEX) depth is the rare, critical differentiator. They hold high standards for their code, are a collaborative team player (open to ideas and feedback, no solo work), use AI coding agents (Claude / Copilot) to iterate quickly, comfortably build/change a Streamlit dashboard, and are a fast learner. Perform analysis and derive insights from data. What is the team environment and structure like?: Part of the OR & Advanced Analytics (OR&AA) - TechOps/Mechanics squad. A cross-functional team of OR scientists, software engineers, and TechOps planning SMEs, working agile with strong engineering hygiene (PR review, Sonar/JaCoCo/PIT, TechDocs) governed by the AA AI Constitution (Spec-Driven Test-Driven Development). High collaboration with Maintenance operations stakeholders. How will the resource(s) fit into your team?: They define the variables, constraints, and objective behind the abstraction layer and own solution quality and solver performance, while the Java engineer owns the surrounding service, data integrations, and deployment. Together they form the core "Java/Spring engineering MIP Eligible to workimization" pairing that makes this a specialized OR product team rather than a standard microservice squad. They also interface directly with Maintenance Planners to validate that Eligible to workimizer output beats the manual baseline Years of Experience: 9.00 Years of Experience

Job Description Introduction We are seeking a skilled professional with experience in banking and finance to join our team. The ideal candidate will have a strong background in statistical analysis, machine learning, and large language models, with the ability to translate business problems into actionable data-driven solutions. Required Skills & Qualifications • Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field., • Proven experience as a Data Scientist in Banking or a similar domain., • Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch)., • Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering., • Experience with data visualization tools (e.g., Tableau, Power BI)., • Experience with Big Data Platforms (Hadoop), Relational Databases (Oracle), and NoSQL Databases (MongoDB)., • Experience with Agentic AI and Agent Development., • Applicants must be able to work directly for Artech on W2.Preferred Skills & Qualifications, • Experience with NLP, deep learning, or time series analysis., • Experience deploying models to production environments., • Knowledge of regulatory requirements and compliance in banking and finance., • Familiarity with MLOps practices and tools., • Experience with Agile methodology and tools (JIRA or Rally).Day-to-Day Responsibilities, • Analyze large financial datasets to extract insights and support business decisions., • Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation)., • Apply and fine-tune large language models for tasks such as document analysis, customer communication, and regulatory compliance., • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions., • Communicate findings and recommendations through reports, dashboards, and presentations., • Work with data engineers to ensure data quality and pipeline reliability., • Work with AI/ML engineers to build AI solutions. For immediate consideration please click APPLY to begin the screening process with Alex.

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 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 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: 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 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 one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making 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, or similar) 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 or higher 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 #LD #LI-ED1 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: 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 DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionYou Will… Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods. Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation. Apply machine learning to improve how the controller adapts across vehicles and operating conditions. Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation. Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline. Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack. Qualifications: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study. Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling). Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone. Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch. Solid problem solving skills using linear algebra, optimization, statistics & probability. Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work. Open-minded and collaborative team player with the willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. The US yearly salary range for this role is: $241,000 - $320,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. 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 Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will... • Own and pursue a research agenda to develop realistic and controllable simulation agents., • Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents., • Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:, • Masters/PhD in machine learning, computer science, engineering, or a related field., • Strong background in imitation learning and/or reinforcement learning., • Publications in top-tier conferences or journals related to machine learning or robotics., • Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:, • Experience in self-driving, traffic simulation, or a related field., • Proven ability to take research from prototype to production systems., • Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team 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: The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation—from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly—safely, reliably, and fast. As a Staff Modeling & Simulation Engineer, you will be a pivotal force in engineering Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains—ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and simulation platforms are both stable and fast. What you'll do: • Develop infrastructure and models in C++ for autonomous aircraft simulation., • Serve as a subject matter expert in modern aerospace and software engineering., • Architect deterministic, high-performance simulation software., • Lead verification and validation (V&V) analysis studies on models and model tooling., • Collaborate tightly across autonomy, embedded, GNC, and test engineering teams to ensure our simulation mirrors real aircraft behavior and mission scenarios., • Contribute to platform-agnostic simulation tooling to accelerate future development efforts., • Train and guide junior engineers in modeling and simulation best practices.Required qualifications:, • BS in Computer Science, Aerospace, Robotics, or related field., • 7+ years of experience in simulation software development with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered., • Strong understanding of rigid-body dynamics, kinematics, and the physics of dynamic systems., • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or other complex dynamic systems (e.g., maritime, space, defense ground systems, or gaming)., • Ability to debug complex build and runtime environments., • Experience with simulation verification and validation., • Strong communication skills across software, hardware, and systems disciplines., • Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship.Preferred qualifications:, • MS or PhD in Computer Science, Aerospace, Robotics, or related field., • Familiarity with modern C++ standards (C++20 or later)., • 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 testing environments., • Experience with Hardware- and Software-in-the-Loop simulation environments, including integration of real hardware into simulation environments., • Experience with CMake, package management tools (e.g. Conan, Nix), and profiling tools., • Experience with software testing tools (GTest, etc.), • Working knowledge of Python for data analysis, test automation, or simulation orchestration., • Experience working on autonomous aircraft systems., • Active Secret or Top Secret Clearance is desired. #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 DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job Description Why This Role Matters Principal Software Engineers define 'how we build' at Bluestaq for entire classes of systems. Your architectural decisions, reference implementations, and technical strategies become the patterns that dozens of engineers follow across multiple products and programs. You translate mission requirements and business strategy into durable technical direction, and you ensure that the most complex, high-stakes technical problems receive the depth of thinking they deserve. The work you do at this level has a shelf life measured in years, not sprints. Key Responsibilities • Own technical strategy for large segments of the Bluestaq product and platform or for major mission-critical system areas, • Define reference architectures and engineering patterns that multiple teams adopt (standardized microservice patterns, shared UI frameworks, cross-cutting data contracts, API standards), • Tackle the company's most complex technical problems: tricky scalability challenges, deep interoperability issues between systems, and highly complex distributed workflows, • Evaluate and guide adoption of major technologies, frameworks, and architectural approaches with long-term implications for the platform, • Ensure technical decisions support reliability, security, and performance at scale across the full product portfolio, • Partner closely with senior engineering leadership, product management, and program management to shape roadmaps and align technical investment with mission priorities, • Operate with strategic autonomy within your domain: set technical direction rather than executing it, while remaining grounded in delivery realities, • Delegate implementation details to Staff and Senior Staff engineers while staying sufficiently engaged to keep designs sound and on track, • Take ownership of the long-term health and evolution of key architectural components and platform foundations, • Mentor Staff and Senior Staff engineers into broader-scope technical leaders capable of owning major domains independently, • Translate mission and business requirements into technical strategies, architecture principles, and engineering investment priorities, • Lead trade studies and technical decisions on new technologies, frameworks, and architectural strategies with cross-team impact Required Qualifications • Master-level technical expertise in one or more major software engineering domains (e.g., distributed systems, data-intensive applications, real-time systems, complex UI architectures) with strong breadth across adjacent areas, • Demonstrated ability to define technical strategy and reference architectures that are successfully adopted across multiple engineering teams over multiple years, • Extensive experience leading the technical direction of large, complex software systems from initial concept through multi-year operation and evolution, • Strong background in evaluating and adopting new technologies, frameworks, and architectural approaches at organizational scale—including build vs. buy and platform investment decisions, • Proven ability to translate business and mission requirements into durable technical decisions, engineering principles, and architectural standards, • Track record of successfully mentoring and developing Staff and Senior Staff engineers into broader technical leaders, • Outstanding written and verbal communication skills: ability to present technical strategy clearly to engineering leadership, program management, and non-technical executive stakeholders, • Experience designing systems that meet strict reliability, security, and compliance requirements in production environments Preferred Qualifications • History of defining company-wide engineering standards, reference architectures, or platform strategies that persist across product generations and leadership transitions, • Experience leading technology evaluations, major architectural transitions, or build-vs-buy decisions at enterprise scale, • Deep knowledge of DoD or national security software requirements, security frameworks (RMF, FedRAMP, NIST 800-53, STIG), and classified system development practices, • Background in systems-of-systems integration, multi-program technical alignment, or cross-organizational engineering governance, • Published technical work, patents, or recognized external contributions in relevant software engineering domains, • Experience advising senior leadership on technology investment priorities, platform strategy, or engineering organization design, • History of building high-performing engineering cultures through strategic hiring, talent development, and technical community investment Required Experience and Education: • PhD in Computer Science, Engineering, or a related field and 10+ years of software engineering or related experience, OR, • Master's degree in Computer Science, Engineering, or a related field and 12+ years of software engineering or related experience, OR, • Bachelor's degree in Computer Science, Engineering, or a related field and 14+ years of software engineering or related experience, OR, • Associate degree in a related field and 16+ years of software engineering or related experience, OR, • High School Diploma/GED and 18+ years of software engineering or related experience. Location Requirement Colorado Springs, CO · Washington, DC · Dallas, TX · Salt Lake City, UT • Colorado Springs is our HQ with an established office — 3–4 days on-site per week., • DC, Dallas, and Salt Lake City-based roles will be remote until offices are established there, and then will require 3–4 days on-site. You use modern AI tools with judgment: integrating them into workflows where they're impactful, reviewing their outputs, and handling proprietary or sensitive data responsibly. Salary Range (CO) $165,000—$230,000 USD Clearance Requirement: This position may require an active TS/SCI Clearance. Current clearance holders are strongly encouraged to apply. If you don't currently hold one, Bluestaq will sponsor eligible candidates through the clearance process based on program needs. Relocation: Relocation assistance is available for full-time positions. About Bluestaq At Bluestaq, we build secure data platforms that matter for space missions, national defense, healthcare systems, and commercial innovation. Founded in 2018, we've become a leader in enterprise software and secure data management by staying focused on what counts: modern architecture, operational excellence, and mission impact. We're engineers, problem-solvers, and builders who take the mission seriously, but not ourselves. We automate the repeatable, question the status quo, and design systems that are as reliable as they are scalable. Whether we're supporting space, defense systems, or healthcare advancements, we build with the same principles: cloud-native solutions, security by design, and relentless simplicity. What We Offer: For full-time positions • 100% employer-paid health, dental, and vision for you and your dependents, • Up to 6% match to 401(k) contributions with additional discretionary 4% profit share on day one. Roth options available; no vesting period., • Every role is eligible for an annual performance bonus, • $200,000 employer-paid life insurance, plus short- and long-term disability coverage, • $5,000 annual professional development budget per employee, • 20 days PTO, plus 8 paid holidays, • Pet insurance, onsite gym, and flexible schedule Bluestaq is an Equal Opportunity Employer. We prohibit unlawful discrimination against applicants or employees on the basis age 40 and over, color, disability, gender identity, genetic information, military or veteran status, national origin, race, religion, sex, sexual orientation, or any other status protected by state or local law. Bluestaq will make reasonable accommodations for qualified individuals with known disabilities and employees whose work requirements interfere with a religious belief unless doing so would result in an undue hardship to Bluestaq or a direct threat. Employees needing such accommodation are instructed to contact Human Resources immediately at contact.us@bluestaq.com. Applications will be accepted for 60 days beyond the posting date, or until the position is filled, whichever comes first.

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 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 Senior Software Engineer, you’ll build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment. You’ll work across teams to turn complex mission needs into reliable, scalable software, balancing near-term delivery with long-term maintainability and performance. In this role, you’ll play a critical part in shaping how autonomy capabilities are designed, integrated, and evolved across our platforms. 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 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 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 one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making 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, or similar) 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 or higher 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 #LC #LI-ED1 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 Senior 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: 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 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 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: We are seeking a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions. What you'll do: • Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives, • Develop system architectures and perform trade studies to balance performance, cost, and risk, • Coordinate and manage interfaces across hardware, software, and external systems, • Support system integration, verification, and validation activities, including test planning and execution, • Identify technical risks and develop mitigation strategies throughout the system lifecycleRequired qualifications:, • A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s Degree; or 2 years with a PhD; or equivalent work experience, • B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering), • Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements, • Experience with MBSE and related efforts, • Experience working in cross-functional teams, • Excellent communication skills, both written and verbally, • Organized and methodical, • Software engineer experience in C++ and/or Python, • Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics, • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others, • The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearancePreferred qualifications:, • Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL), • Expertise with Requirement & Design decomposition, • Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles #LI-DM2 #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 DescriptionJob Title: Technical Problem Author – Engineering Role Type: Contractor Location: Remote Job Overview We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance. Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most. Scope of Work • Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines., • Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance., • Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts., • Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions., • Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment., • Provide structured written feedback and clear explanations to improve AI-generated technical reasoning., • Collaborate remotely with technical experts and project participants to maintain high-quality deliverables., • Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.Required Skills, • Mechanical Engineering, • Aerodynamics, • AutoCAD, • Technical Problem Authoring, • Engineering Analysis, • Technical Documentation, • Analytical Reasoning, • Technical Review & Validation, • Written and Verbal CommunicationPreferred Qualifications, • Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience., • At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles., • Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs., • Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise., • Professional-level English proficiency with excellent written and verbal communication skills., • Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty., • Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.Compensation Structure Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow. Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week. Start Timeline & Availability Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding. If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.

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 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: We are seeking skilled, experienced embedded software engineers with relevant experience in C++ in embedded systems to join our X-BAT Embedded Software Team focused on developing complex avionics software that merges hardware and embedded applications for cutting-edge Unmanned Aerial Vehicles (UAV). The Embedded Software Engineer works with in a high pace environment with a cross-functional team of program stakeholders, electrical engineers, Guidance, Navigation and Controls (GNC) engineers, systems engineers, test engineers and the autonomy team, to design and develop software systems which utilize modern aerospace sensors, state-of-the-art UAV avionics. What you'll do: • Develop high-quality C/C++ code tailored specifically for X-Bat aircraft, ensuring optimal performance, reliability, and safety., • Leading cross-functional teams to create systems of software features to implement advanced robotic avionics capabilities., • Own complex software capabilities from design to production., • Participate in architecture, design, and code reviews., • Integrate software from multiple departments to include firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS), • Develop software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads, • Facilitate the design process for updates to the software system architecture, • Use modern software development tools and processes to capture our existing architecture and design future architectures, • Collaborating to define and extend systems engineering processes, • Report status, risks, accomplishments, expectations to senior leadership, • Design and implement systems capable of conducting tests across various environments, including virtualized hardware and hardware-in-the-loop simulations, to facilitate thorough evaluation of software functionality and performance., • Develop innovative tools to enhance the frequency and reliability of software deployment, test execution, and data analysis within a continuous integration and release system, fostering improved efficiency and productivity in software development workflows., • Create prototypes to validate critical design concepts and assess technical limitations, providing tangible evidence of feasibility and informing decision-making processes. Required qualifications:, • Strong embedded software development experience in C/C++., • Strong understanding of Oriented Object Programming and modern C++ features., • Strong knowledge of embedded software, BSPs or other systems software components., • Strong understanding of computer architecture, operating systems, and network protocols fundamentals., • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes., • Experience producing high-quality technical documentation, including architecture, detailed designs, and test plans., • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed client expectations in a fast-paced environment, • Proactively identify opportunities for improvement within software development projects, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and X-Bat reliability, • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering., • Ability to obtain a S//SAR level security clearance desired.Preferred qualifications:, • Proven background in thriving within fast-paced environments, within startup or R&D settings., • Proven experience in development of military aircrafts., • Compliance with DO-178C, • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes., • Familiar with FPGA development using SystemVerilog., • Real Time Operating System (RTOS) experience. #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 Description Why This Role Matters Senior Software Engineers are the technical anchors of our teams. You'll be the go-to person for a domain or service, ensuring that what we ship is not only functional but well-designed, tested, and sustainable. Your work will directly impact mission readiness, and your mentorship will shape the next generation of engineers at Bluestaq. You'll balance hands-on delivery with technical leadership, raising the bar for code quality and system design. Key Responsibilities • Own features and modules that span multiple components/services and require coordination with other teams or roles, • Design and implement non-trivial features with clear tradeoffs (performance, readability, complexity, security), • Write solid tests (unit, integration, basic end-to-end) and help improve test coverage and reliability, • Identify and address code smells, refactoring opportunities, and tech debt in your area, • Understand core architecture patterns in use (microservices, event-driven, SPA, component-based UI) and work within them effectively, • Operate independently within your product area: scope work, make reasonable design decisions, and proactively raise risks, • Act as an escalation point for junior engineers when debugging issues or clarifying designs, • Mentor others via pairing, feedback, and sharing context, not just fixing things yourself, • Lead medium-sized features from idea → design → implementation → production → follow-up, • Debug complex issues that span multiple components or services, including production incidents, • Make incremental improvements to architecture, patterns, and tooling in your domain Required Qualifications • Strong proficiency in multiple programming languages and frameworks, • Proven ability to design and deliver complex features across the full stack, • Deep understanding of software architecture patterns and design principles, • Experience with automated testing strategies and test-driven development, • Track record of mentoring junior engineers and improving team practices, • Strong debugging and problem-solving skills across distributed systems, • Experience with cloud platforms, containerization, and modern deployment practices, • Excellent communication skills and ability to explain technical concepts clearly Preferred Qualifications • Experience with microservices architectures and distributed systems, • Familiarity with event-driven architectures and asynchronous processing, • Background in performance optimization and scalability, • Experience working on government, defense, or mission-critical systems, • Knowledge of security best practices and secure coding standards, • Contributions to open-source projects or technical communities, • Experience with observability tools and practices (logging, metrics, tracing), • Familiarity with customer-facing environments, including Technical Exchange Meetings (TEMs) or similar collaborative forums with stakeholders Required Experience and Education: • PhD in Computer Science, Engineering, or a related field and 0+ years of software engineering or related experience, OR, • Master's degree in Computer Science, Engineering, or a related field and 2+ years of software engineering or related experience, OR, • Bachelor's degree in Computer Science, Engineering, or a related field and 4+ years of software engineering or related experience, OR, • Associate degree in a related field and 6+ years of software engineering or related experience, OR, • High School Diploma/GED and 8+ years of software engineering or related experience. Location Requirement Colorado Springs, CO · Washington, DC · Dallas, TX · Salt Lake City, UT • Colorado Springs is our HQ with an established office — 3–4 days on-site per week., • DC, Dallas, and Salt Lake City-based roles will be remote until offices are established there, and then will require 3–4 days on-site. You use modern AI tools with judgment: integrating them into workflows where they're impactful, reviewing their outputs, and handling proprietary or sensitive data responsibly. Salary Range (CO) $100,000—$155,000 USD Clearance Requirement: This position may require an active TS/SCI Clearance. Current clearance holders are strongly encouraged to apply. If you don't currently hold one, Bluestaq will sponsor eligible candidates through the clearance process based on program needs. Relocation: Relocation assistance is available for full-time positions. About Bluestaq At Bluestaq, we build secure data platforms that matter for space missions, national defense, healthcare systems, and commercial innovation. Founded in 2018, we've become a leader in enterprise software and secure data management by staying focused on what counts: modern architecture, operational excellence, and mission impact. We're engineers, problem-solvers, and builders who take the mission seriously, but not ourselves. We automate the repeatable, question the status quo, and design systems that are as reliable as they are scalable. Whether we're supporting space, defense systems, or healthcare advancements, we build with the same principles: cloud-native solutions, security by design, and relentless simplicity. What We Offer: For full-time positions • 100% employer-paid health, dental, and vision for you and your dependents, • Up to 6% match to 401(k) contributions with additional discretionary 4% profit share on day one. Roth options available; no vesting period., • Every role is eligible for an annual performance bonus, • $200,000 employer-paid life insurance, plus short- and long-term disability coverage, • $5,000 annual professional development budget per employee, • 20 days PTO, plus 8 paid holidays, • Pet insurance, onsite gym, and flexible schedule Bluestaq is an Equal Opportunity Employer. We prohibit unlawful discrimination against applicants or employees on the basis age 40 and over, color, disability, gender identity, genetic information, military or veteran status, national origin, race, religion, sex, sexual orientation, or any other status protected by state or local law. Bluestaq will make reasonable accommodations for qualified individuals with known disabilities and employees whose work requirements interfere with a religious belief unless doing so would result in an undue hardship to Bluestaq or a direct threat. Employees needing such accommodation are instructed to contact Human Resources immediately at contact.us@bluestaq.com. Applications will be accepted for 60 days beyond the posting date, or until the position is filled, whichever comes first.

Job DescriptionMechanical Engineering Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Mechanical Engineering Expert to support an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. You'll solve, validate, and review structural, thermal, mechanical, and multiphysics engineering tasks. No prior AI experience is required. Key Responsibilities • Solve and validate mechanical engineering problems involving design, analysis, simulation, and testing., • Translate engineering requirements into analytical and computational models., • Create and modify geometry, meshes, materials, loads, constraints, and solver inputs., • Perform structural, thermal, dynamic, fatigue, buckling, and vibration analyses., • Use Python to automate simulations, parameter sweeps, optimization, and post-processing., • Analyze stress, strain, displacement, temperature, deformation, frequency response, and safety factors., • Diagnose geometry, mesh, convergence, boundary-condition, and modeling issues., • Compare simulation results with calculations, experiments, and expected physical behavior., • Review AI-generated engineering solutions and develop reproducible reference solutions.Required Skills, • Mechanical Engineering & Applied Mechanics, • Engineering Design & Analysis, • Structural & Thermal Analysis, • Computational Modeling & Simulation, • Python, • CAD, Meshing & Simulation, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingTools Experience with CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or equivalent CLI/programmatic engineering tools. Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, and Jupyter are beneficial. Qualifications • MS/PhD in Mechanical Engineering or related discipline, or BS in Mechanical Engineering with 1–2+ years of relevant professional experience., • Strong mechanical-engineering fundamentals and simulation experience., • Practical Python and programmatic engineering-tool experience., • Ability to select and justify materials, loads, boundary conditions, assumptions, and model fidelity., • Ability to validate results and clearly explain engineering decisions and trade-offs.Process Application ~30-minute AI interview Technical assessment (if required) Hiring manager review.

Job DescriptionMaterials Science Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required. Key Responsibilities • Solve and validate computational materials science problems., • Build material structures, compositions, and simulation inputs., • Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations., • Use Python to automate simulations, parameter sweeps, and data analysis., • Analyze mechanical, thermal, electrical, chemical, and structural properties., • Diagnose convergence, numerical, modeling, and physical-assumption issues., • Compare results with experiments, literature, and expected physical trends., • Review AI-generated solutions and develop reliable reference solutions.Required Skills, • Materials Science & Engineering, • Computational Materials Modeling, • Materials Simulation & Analysis, • Python, • Scientific Computing, • Structure–Property Relationships, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingTools Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial. Qualifications • MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization., • Experience in computational materials modeling, simulation, characterization, or materials R&D., • Strong Python and programmatic engineering-tool experience., • Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Quantitative Finance Expert Type: Contract Compensation: $150/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities • Evaluate and compare AI-generated responses to finance problems to shape model reasoning., • Analyze model outputs using quantitative modeling, derivatives pricing, and statistical analysis., • Provide structured feedback to improve model behavior and outputs., • Collaborate with research teams to ensure methodological soundness and quality., • Participate in onboarding and specialty calibration sessions. Qualifications Must-Have • 2+ years of experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research)., • Advanced degree (MS/PhD) in Financial Engineering, Mathematics, Statistics, Physics, or Economics., • Proficiency in Python (NumPy/pandas) for modeling and analysis., • Excellent written communication with high attention to detail. Start Date • Immediately; applications reviewed on a rolling basis. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job Description Possible 3 Month CTH Role name: GNC Engineer III Work Location: DFW, Texas Onsite) Start date: Immediate availability. Background check MANDATORY JOB SUMMARY Solve challenging controls and localization problems using state-of-the-art techniques. Develop simulations to prove controls designs. Work with a team of engineers to implement and validate controls solutions on unmanned ground vehicles (UGVs). Designs, develops, and supervises all aspects of electrical control systems, equipment, and machinery. May be responsible for the installation and technical support of controls products. Familiar with concepts, practices, and procedures within the GNC realm. Relies on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. Relies on experience and judgment to plan and accomplish goals. Performs a variety of complicated tasks. May report to an executive or a manager. A wide degree of creativity and latitude is expected. ESSENTIAL DUTIES AND RESPONSIBILITIES • Design and develop controls and localization algorithms for ground vehicles., • Model mechanical and electrical systems to simulate derived controls solutions, • Aid in the testing and debugging of implemented controls solutions, • Document designs and analysis in company report format, • Synthesize controls solutions to problems of interest to the company, • Simulate mechanical, electrical, etc. systems to verify derived controls solutions, • Aid in the testing and debugging of implemented controls solutions, • Document important results in company report format, • Advise and assist GNC Engineers as needed, • Publish research in conference proceedings and journals, • Provides technical leadership in the controls area, • Assists in writing proposals that require controls solutions, • Patent Client controls methods ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS • Requires a Master's or PhD degree in Mechanical or Electrical Engineering with emphasis in Controls and Localization, • 4-7 years of relevant industry experience, • Must be Proficient in:, • StateSpace Control, • Localization, • StateOfArt Controllers Must have Experience in: • Designing Controls & Localization algorithms, • Detailed Documentation, • Python or C/C /ROS PHYSICAL REQUIREMENTS • Ability to remain in a stationary position at a computer workstation constantly throughout the workday., • Ability to constantly operate a computer and other office productivity machinery., • Ability to effectively complete job responsibilities on computer monitors., • Ability to effectively communicate and exchange information in person, via phone, and through other electronic means., • Able to traverse an office environment. Please add the below to the comment section: Legal Name: Current Location: (City, State & Zip Code): Home location: Relocate: Bill Rate: CTH After 3 Months: Travelling Availability: Availability to Start: Phone/Mobile Number: Email Address: Visa Type: Visa Expiration Date: Hiring Status: Are you working directly with the contractor's visa holder: If not indicate # of layers and names of the company: Indicate if the Candidate has worked in CG before and where: Ex-* Employee: LinkedIn Account: (If available) Vendor Point of Contact for Interview Scheduling: Contractor approved to share its resume to client: Skills summary: Resumes will be rejected for the following reasons: • Different format, • Missing details in comments section, • Missing text box in the header, • Photo ID included containing personal information other than legal name and photo

Job DescriptionJob Title: AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most. Key Responsibilities • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity., • Create, refine, and evaluate prompts to improve AI-generated technical outputs., • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback., • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals., • Perform independent research and fact-checking to validate technical information., • Interpret and annotate technical data to support AI model training and evaluation., • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.Required Skills, • Critical Thinking, • Analytical Reasoning, • Quality Assurance, • Prompt Engineering, • AI Output Evaluation, • Technical Documentation, • Technical & Professional Writing, • Content Review & Editing, • Data Annotation, • Fact Checking, • Independent Research, • Business Communication, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role., • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews., • Strong critical thinking, analytical reasoning, and structured problem-solving skills., • Excellent written communication and technical editing abilities., • Experience with AI coding tools or automated documentation tools is a plus but not required., • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.

Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... • Lead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation., • Act as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability., • Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios., • Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale., • Manage the experimentation pipeline for research and data generation. Qualifications:, • MS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study., • Experience owning software on a shipped product with reliability requirements., • Strong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle)., • Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making)., • Production-quality coding skill in Python or C++., • Open-minded and collaborative team player with the willingness to help others., • Able to maintain progress towards long-term goals while working on short-term problems., • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. The US yearly salary range for this role is: $245,000 - $285,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team 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: At Shield AI, we are revolutionizing defense technology to protect service members and civilians with intelligent, autonomous systems. Our Hardware Test Engineering team plays a critical role in ensuring the V-BAT remains the most reliable, mission-ready UAV in the industry. We design cutting-edge test solutions—custom-built electrical and mechanical systems that push our hardware to its limits in real-world and extreme environments. As an Electrical Engineer on our Hardware Test team, you’ll have the opportunity to design and automate test systems that validate everything from power electronics to RF communications. You'll work hands-on with PCB design, Python scripting, and advanced environmental testing (HASS, ESS, HALT) to ensure the highest standards of reliability. If you're passionate about building rock-solid hardware and thrive in a fast-paced, multidisciplinary environment, this role is for you. What you'll do: • Design and own test systems for critical UAV components and subsystems, from concept to validation., • Work across multiple EE disciplines, including power electronics, RF, communications, and system integration., • Develop PCBs to interface between test stands and the device-under-test (DUT)., • Build custom test fixtures integrating relays, PLCs, PCBAs, and harnessing for automated and high-fidelity testing., • Automate test sequences using Python, ensuring repeatability, efficiency, and scalability., • Collaborate in cross-functional design reviews, advocating for testability improvements that streamline hardware validation., • Adapt and innovate in a fast-moving, high-stakes environment, where your work directly impacts mission success., • Other duties as assigned.Required qualifications:, • B.S. in Electrical Engineering or equivalent hands-on experience OR you are an undergraduate, graduate or PhD student expected to graduate in 2026., • Strong foundation in electrical, mechanical, and software engineering principles., • Experience in multidisciplinary hardware projects—whether through internships, jobs, clubs, personal projects, or research., • A track record of ownership, innovation, and delivering results in complex technical environments., • A team-first mindset, holding yourself and others to high standards, while being adaptable and solution-oriented., • A track record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.Preferred qualifications:, • Proficiency in Python or other scripting languages for automation., • Experience with PCB design tools (Altium, KiCAD, Eagle, etc.)., • Familiarity with CAD tools (SolidWorks, NX, CATIA) for mechanical fixture design., • Ability to problem-solve under pressure and pivot quickly in a dynamic, fast-paced engineering environment. #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 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 Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will... • Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes., • Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving., • Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system., • Champion engineering excellence, ensuring high-quality, well structured and tested code., • Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform., • Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature., • Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator., • Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:, • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study., • Experience working on applied research projects and shipping machine learning features/models into production., • Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes., • Passion for taking research ideas and turning them into practical solutions for real-world applications., • Solid understanding of computing fundamentals, including code efficiency., • Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code., • Comfortable working with large datasets for machine learning applications., • Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques., • Open-minded and collaborative team player with the willingness to help others., • Experience and excitement in supporting a fast-paced high-growth environment., • Passionate about being part of an organization solving self-driving technologies.Bonus/nice to have:, • Previous experience in multimodal sensor fusion., • Previous experience in self-driving technology or related fields., • Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics., • Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models., • Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team 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 About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Ground Systems Construction Team The Ground Systems Deployment and Construction team is responsible for turning bare ground into functional drone charging sites! We're a broad, cross-functional team with skills across civil, structural, mechanical, electrical, and construction engineering with a mandate to deliver world-class construction execution with zero issues in the first 30 days, on-time and on-budget, using scalable, cost-optimized, and serviceable designs. The Role As a Construction Management Intern in Dallas-Fort Worth, you will be responsible for supporting the rolling out of our systems across multiple metros and paving the way imagining how the UAS world meets the built environment - not just for Zipline but for our customers and the industry as a whole. You will be involved in managing the entire process from site identification through permitting, approvals, and construction. You will be working with numerous cross-functional teams such as Communications, Government Affairs, Engineering, and Operations teams to tackle all the operational and technical challenges we face head-on to get our customer's sites operational as quickly as possible. You will have to be technically savvy, and be able to develop relationships with customers, suppliers, and contractors. As a Construction Management Intern in Dallas-Fort Worth, you will be involved in driving all aspects of project construction to establish Zipline's ground infrastructure in the region. This includes supporting the entire process from contractor evaluation, contracting and bid evaluation, design review in partnership with our engineering teams, through to full scope site construction management and project competition and oversight in partnership with our Service Operations and Superintendent teams. You'll work alongside the Construction Management team and with the broader Deployment team, Real Estate and Government Affairs teams, Finance, Legal, and Engineering to build strong relationships with key stakeholders and secure the necessary approvals to expand our network. You support management of external vendors, and ensure project timelines are met, all while maintaining alignment with Zipline's strategic goals. What You'll Do • Support construction projects, site infrastructure installments, construction contractors, and additional real estate development projects ensuring schedule and cost targets are met or beaten., • Help develop improvements to construction methods and processes., • Source and foster relationships with external stakeholders, including local jurisdictions, utilities, landlords, and contractors., • Assist with identifying and mitigating risks associated with pre-construction and construction phases., • Track and communicate project timelines with internal Zipline teams., • Source and manage general contractors and subcontractors across various trades (construction, assembly, electrical) during bid, pre-construction, construction, and site commissioning project phases., • Support construction project quality and site-readiness walks.What You'll Bring, • Currently pursuing a degree in Construction Management, Civil Engineering, Architecture, Real Estate Development, or related field. You must have completed the second year of your undergraduate studies. Masters and PhD students are also eligible., • Familiarity with construction software such as Bluebeam, Procore, and similar tools., • Strong written and verbal communication skills with a willingness to ask questions and learn., • Must be able to travel frequently throughout Dallas-Fort Worth. Requires transportation (not company provided) and the ability to independently travel to operational sites, events, communities, and partner locations as needed., • Comfort with hands-on work and openness to occasional travel when necessary., • An open mind to help us bring Zipline's service to new and existing customers!What Else You Should Know This internship is a full-time position, in-person at our Dallas, Texas office. We will host our Spring 2027 interns from (January 2027 - April 2027). Zipline is unable to sponsor work visas for applicants to this position. The hourly rate for this internship is $30 per hour. Additional benefits may include relocation support, a housing stipend, overtime pay, paid sick time, and other benefits, where applicable and subject to local requirements. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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: As a Staff Cross Domain Systems Engineer, you will lead the design, integration, deployment, and sustainment of secure cross domain solutions that enable mission-critical data sharing across Top Secret and other classified network environments. You will serve as a senior technical authority for cross domain architecture, system accreditation, security engineering, and operational support, working closely with cybersecurity, network, infrastructure, mission, and program leadership teams. What you'll do: • Lead the engineering and implementation of Cross Domain Solutions that support secure information transfer between classified networks and enclaves., • Design and evaluate architectures for high-assurance data movement, including guards, transfer solutions, filtering mechanisms, auditing, and policy enforcement capabilities., • Support Top Secret network environments by ensuring systems are engineered, configured, and maintained in accordance with applicable security policies, mission requirements, and accreditation standards., • Partner with ISSM, ISSO, network engineering, and operations teams to support system authorization, risk management, vulnerability remediation, and continuous monitoring activities., • Develop and review technical documentation, including system designs, interface control documents, security artifacts, test plans, implementation procedures, and operational runbooks., • Troubleshoot complex cross domain, network, system, and security issues across classified environments, providing root cause analysis and long-term corrective actions., • Evaluate emerging technologies, vendor capabilities, and mission needs to recommend secure, scalable, and operationally effective cross domain architectures., • Provide technical leadership and mentorship to engineers, administrators, and mission partners supporting classified infrastructure and secure data exchange., • Drive improvements in reliability, automation, monitoring, documentation, and engineering standards across cross domain and classified network environments., • Support system upgrades, technology refreshes, lab validation, integration testing, and production deployments in highly controlled classified environments., • Serve as a trusted senior engineer for programs requiring secure, reliable, and accredited information sharing across sensitive and mission-critical networks. Required qualifications:, • 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., • Powershell, Ansible and Python are nice to have., • Available to be onsite in our Washington, DC or Dallas, Texas office., • Must have top secret clearance / clearance with SCI eligibility, • Hypervisor environments, • Networking, • Security+ certified, or ability to obtain certification in the first 3 months #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 Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply. You will... • Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms., • Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies., • Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system., • Champion engineering excellence, ensuring high-quality, well structured and tested code., • Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform., • Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature., • Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator., • Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:, • Bachelor's in computer science, engineering, machine learning, or a related technical discipline., • Experience working on applied research projects., • Passion for taking research ideas and turning them into practical solutions for real-world applications., • Solid understanding of computing fundamentals, including code efficiency., • Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code., • Comfortable working with large datasets for machine learning applications. Bonus/nice to have:, • Master/PhD in machine learning, computer science, engineering, or a related field., • Experience in shipping machine learning features/models into production., • Strong grasp of machine learning literature, including current trends and state-of-the-art techniques., • Previous experience in self-driving technology or related fields., • Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology., • Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models., • Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation., • Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team 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 DescriptionJob Title: AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most. Key Responsibilities Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance. Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making. Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria. Author and review investment memos, due diligence reports, research summaries, and technical documentation. Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards. Conduct independent research and fact-checking to validate financial information. Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills Critical Thinking Analytical Reasoning Quality Assurance Prompt Engineering AI Output Evaluation Financial Analysis Technical & Report Writing Business Communication Content Review & Editing Fact Checking Data Interpretation Data Annotation Problem-Solving Independent Research Attention to Detail Preferred Qualifications Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance. Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research. Strong analytical, critical thinking, and problem-solving skills. Excellent written communication and professional editing abilities. Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus. Master's, MBA, JD, PhD, or another advanced degree is preferred. Commitment to producing high-quality, accurate, and well-documented work.