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Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need System Reliability Test Engineer is responsible for troubleshooting, repairing, and validating Symbotic’s automated robotic systems. The automated robotics system includes Inbound and Outbound Adapter cells, Vertical Lifts, conveyors, and autonomous bots. You will become the system expert of Symbotic’s automation, including repair/replacement of all mechanical, electrical /electronic, and pneumatic sub-systems. Providing excellent service and support to Symbotic’s Commissioning, Testing, and Operations teams. What we do The System Test Engineer is part of the Operations organization that leads preparation and readiness efforts, tasks, and testing to ensure the successful implementation of the SYM system at our new customer sites. The Customer Site Deployment organization partners cross-functionally and directly with our customers to drive and execute onsite structural and systems deployments, in preparation for final acceptance of the Symbotic system. What you’ll do * Perform inspections on systems associated with Automated Storage and Retrieval System of automated robotic vehicles and Automated Adapters/ Lifts. * Support continuous operation by adjusting, calibrating, repairing, replacing, or modifying system components. * Experience and knowledge with troubleshooting basic PLC (Programmable Logic Controller), running SQL queries, and executing test plans using Test Rail, Jiraira, SharePoint, or other collaboration methods. * Effective communication of schedule impacting problems and suggested actions, including approximate time required for corrective and emergency maintenance to required team members. * Responsible for cleanup of equipment and removal of replaced parts from work areas after repairs are completed. * Responsible for minor utility work such as machining holes, brackets; cutting steel; aligning sensors; attaching Unistrut; etc.). * Responsible for troubleshooting, calibration, set up, and tool changes on Robotic arms. * Responsible for continuous cleaning and adhering to 5S policies. * Ensure that the safety commitments in compliance with OSHA, Symbotic, and our customers’ processes and procedures are met daily. * Assist in training / onboarding of Team members as required. * Other duties assigned. What you’ll need * Associate degree or equivalent experience or certification in electronics, automotive, automation, manufacturing, or equivalent field preferred. * Minimum of 2 years’ experience in maintenance of mechanical systems and experience in electro-mechanical highly preferred. * Basic Excel knowledge and PowerPoint (Microsoft tools) to Importing datasets, basic chart production, running Pivot Tables, applying filters on data. * Basic networking skills, such as an understanding of an IP address, how to find a MAC address, ping addresses, SSH into machines, etc. * Advanced troubleshooting (reading of CAD drawings/maintenance manuals/user manuals/etc.) * Ability to work independently of supervisor following procedures and manuals. * Must be able to work in a dynamic environment and change course based on immediate business needs. Our Environment * Remote, field-based position. * Travel is required up to 75% of the time. Employee must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. * The employee is responsible to own a credit card and manage expenses personally to be reimbursed on a bi-weekly basis. * The employee is frequently required to walk and reach with hands and arms. * The employee is routinely required to work at heights of up to 45 feet and within restrictive areas of 24 inches. to stand; climb or balance and stoop, kneel, crouch, or crawl. * The employee must regularly lift and/or move up to 50 pounds. * Must comply with all safety requirements and protocols, including without limitation Lock out tag out safety protocols and fall protection safety protocols. * Approximately 75% of time will be spent on a construction site with PPE required (hard hat, safety vest, steel toes, eyeglasses, ear protection, fall protection (e.g., safety harness). * There will be steep stairs to climb into the structure. You may be required to routinely walk up and down stairs to navigate the automation structure. * You will regularly be near railings that are high off the ground. * Subject to environmental conditions, protection from weather conditions but not necessarily temperature changes. Must be capable of working in temperatures ranging from 105° to 32° Fahrenheit. #LI-KK2 #LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit ___. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Job DescriptionISEE is seeking a full-time Senior Controls Engineer to join our team. The ideal candidate has 5+ years of relevant work experience and a blend of mechatronics/robotics/and controls experience. Role responsibilities include:- Building and using models to simulate and test control algorithms, evaluating and verifying all aspects of dynamic behavior at both component and system level- Conceiving test scenarios and coordinating with other teams to conduct extensive software testing and field testing on autonomous vehicles - Develop metrics and intuitive tools to evaluate vehicle dynamics controller performance- Participate in architecture strategy & algorithm design reviews- Conduct root-cause investigations, data processing and analysis of results from simulations and vehicle testing Qualifications- Advanced Degree in Mechanical Engineering, Controls Engineering, Aerospace Engineering, Applied Mathematics, Electrical Engineering, Mechatronics, or similar technical discipline. (Masters and up preferred)- Engineering background in feedback control theory: linear system analysis (time domain and frequency domain), stability analysis, frequency response, system identification, optimal control techniques- HIL (Hardware-in-loop) testing and signal processing experience- High proficiency in Embedded C programming- Strong experience with MATLAB/Simulink, & Python programming- Excellent communication skills- Passionate about self-driving cars and robotics- Previous start up experience required Preferred- Basic understanding, and intuition for physics of multi-body systems- Experience with coordinating, interpreting, and improving control algorithm requirements- Experience designing test framework to ensure control algorithm compliance with requirements- Working in a formal development environment (i.e. ISO26262) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionISEE is seeking a full-time Senior Mechanical Engineer to join our team. The ideal candidate has 5+ years of work experience and has been through the product development lifecycle. This candidate will be responsible for overseeing multiple new development projects, owning new hardware development from design and testing through production, writing specification documents for newly designed systems, and ensuring designs meet any and all regulatory needs. Previous work in the automotive industry is a bonus, but not a necessity. Role responsibilities include:- Design, integrate, and validate hardware for autonomous vehicles- Build schedules for new hardware initiatives- Create engineering specifications and coordinate development work on various vehicle subsystems- Develop assembly and test procedures- Work with contract manufacturers to ensure proper delivery of components- Lead design reviews- Design parts for manufacturing and BOM creation- Manage engineering changes for updates to existing vehicles- Work with Hardware team to ensure safety through all stages of development Qualifications:- Bachelors/Masters in Mechanical Engineering- 5+ years relevant industry experience designing products for production- Familiarity with GD&T and generation of engineering drawings and documentation- Familiarity with CAD Software (Solidworks, Fusion 360, NX)- Experience designing both sheet metal and machined parts- Experience with designing for outdoor or harsh environments (particulate ingress, water ingress, UV exposure, shock and vibe, high temp, etc)- Basic hand tool knowledge and experience- Excellent communication skills Preferred:- Experience with plastic injection molding- Passionate about AI, robotics, and self-driving cars- Startup work experience- Robotics and logistics experience a plus- Familiarity with a machine shop- Familiarity with automotive systems We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS). As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms. This role is part of the Hivemind Solutions organization and leads a team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.WHAT YOU'LL DO: • Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft, • Lead a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures., • Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables, • Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts.REQUIRED QUALIFICATIONS:, • BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree, • 10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.), • 7+ years of delivering software into production/certifiable environments with high-reliability, • Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning), • Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.), • Understanding of software development processes and how to effectively deploy software, • Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation, • Demonstrate problem solving skills by applying a scientific technical approach, • Customer-facing engineering leader supporting both defense and internally funded development programs, • Contribute to government contract proposal writing, • Excellent communication skills, both written and verbal Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a Staff Harness Design Engineer with deep expertise in harness design to support the development of our next-generation autonomous UAV platform. In this high-ownership role, you will lead the architecture, design, and development of precision wire harnesses and cable assemblies that are critical to mission success. What you'll do: • Lead design of wire harnesses and cable assemblies for autonomous UAVs, • Own harness design process: concept, 3D CAD routing, analysis, and drawing release, • Perform electrical and environmental analysis for harness reliability, • Prototype and test harnesses in dynamic, mission-critical environments, • Collaborate with avionics, systems, and manufacturing teams for integration, • Mentor engineers and drive harness design best practices Required qualifications:, • Bachelor’s degree in Electrical, Mechanical, or Aerospace Engineering, • 8+ years in wire harness design for aerospace or robotics, • Strong CAD skills (NX or CATIA preferred) for 3D harness modeling, • Experience using EWIS design software (Zuken, Capital, etc), • Expertise in GD&T, tolerance stack-ups, and IPC/WHMA-A-620 standards, • Experience with electrical schematics and connector selection, • Hands-on experience with harness fabrication or testing, • Ability to work independently and lead in fast-paced, cross-functional teams, • A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others Preferred qualifications:, • Experience designing harnesses for UAVs, aircraft, or spacecraft, • Familiarity with EWIS compliance and RTCA DO-160 testing, • Proficiency in failure mode analysis (FMEA) and root cause investigations Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:As a DevOps Engineer, you’ll own our CI/CD and automation stack — driving developer velocity, pipeline health, and large-scale test execution from single-agent runs to cluster-orchestrated mission scenarios. This is a hands-on IC role that removes bottlenecks, accelerates iteration, and ensures every engineer can test and ship with speed and rigor. What you'll do: • Own and operate the CI/CD system across autonomy, embedded, and ground software., • Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks., • Scale simulation test execution in CI — from containerized single-agent runs to orchestrated clusters., • Manage infrastructure for builds and tests (Azure DevOps, Git, Artifactory, cloud build agents)., • Fully automate common tasks to create a self-service DevOps model allowing developers to be fully empowered., • Partner with developers to resolve build/test failures quickly and set best practices for integration., • Integrate CI pipelines with HIL and simulation environments for automated validation., • Implement monitoring, dashboards, and alerts for CI/CD health and performance., • Collaborate with the Developer Ops teams across Shield AI to introduce new technologies, best practices, and shared standards. Required qualifications:, • BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)., • Strong expertise in CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)., • Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)., • Strong scripting skills (Python, Bash, PowerShell)., • Hands-on experience integrating automated testing into CI pipelines., • Demonstrated success improving developer productivity at scale., • Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment Preferred qualifications:, • Experience building simulation or HIL-based test pipelines., • Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus). Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. 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: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Research Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will...- Architect robust and scalable training and evaluation frameworks for IL/RL-based traffic agents.- Design and implement scalable data pipelines for generating large-scale training datasets.- Productionize cutting-edge research into robust, scalable systems in Waabi World, our simulation platform.- Contribute to technical direction and strategy for realistic traffic agents and scenario generation. Qualifications:- Experience with imitation learning, reinforcement learning, planning, and/or robotics.- Expertise with ML frameworks such as PyTorch, TensorFlow, or Jax.- Proven ability to take research from prototype to production systems.- Excellent software engineering skills with experience building scalable ML systems.- Open-minded and collaborative team player with willingness to help others. Bonus/nice to have:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Publications in top-tier conferences or journals related to machine learning or robotics.- Experience in self-driving, traffic simulation, or a related field.- Expertise coding in Rust/C++. 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. 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 Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a Senior Full-Stack Software Engineer with a background in creating reliable and scalable web applications and web services. This person must understands the fundamentals of modern web technologies and cloud technologies. The person in this role will be designing, implementing, testing, and deploying services and/or features for web based applications and APIs. The role will work collaboratively across multiple teams to gather requirements, validate designs and implementations, and test the resulting deliverables.This role will require to be in office at least 3 days per week.In this role, you will: • Optimize and enhance existing applications and APIs to incorporate new features and user feedback., • Design new features and user experiences, including UI elements and layout through mockups (e.g., Figma) and implement such features in React + TypeScript., • Research and design new APIs for new use cases and implement such APIs and backend logic using Python, JavaScript/TypeScript, C++., • Utilize a variety of AWS technologies such as API Gateway, AWS Lambda, Amazon AppSync, DynamoDB, and Terraform., • Interact with a variety of data sources including documents, databases, raw and/or processed sensor data, and other APIs., • Collaborate with Software Engineering, Software Quality, and Operations to understand end user requirements.What you'll bring:, • Strong technical background as evidenced by BS, MS, or equivalent experience, in Computer Science or a related engineering discipline, • 5+ years of experience building backend services and/or intuitive web applications with significant scale and performance, • Solid understanding of HTML, CSS, and related web technologies, • Recent experience with JavaScript, TypeScript and React, • Experience with using internal and external facing APIs, • Experience with app profiling and performance tuning., • Experience with service performance measurement, observability, and tuning., • Familiarity with web sockets and Typed Arrays, • Bonus for experience with Three.js, Web Workers, protobuf, • Bonus for experience in designing UIs using collaborative tools, • Bonus for experience with C++, creating tooling for robotics / timeseries data, • Bonus for experience with AWS PaaS technologies and services, • Great communicator; you must be capable of writing clear, concise, and detailed documentation., • Competitive compensation package including equity and annual bonuses, • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits), • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance, • Flexible PTO, 10 paid holidays, and generous parental leave policies, • Office perks: free catered lunch, a fully stocked kitchen, • Long Term Disability, Short Term Disability, Life Insurance, • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation), • Fidelity 401(k), • Commuter, FSA, Dependent Care FSA, HSA, • Various incentive programs (referral bonuses, patent bonuses, etc.)At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

Job DescriptionJOB DESCRIPTION: The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast. As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline. You’ll design, build, and scale the models and infrastructure needed to use Shield’s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence. What You'll Do • Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++., • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release., • Implement scenario simulation tooling and formal test infrastructure., • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios., • Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity., • Perform verification & validation (V&V) analysis activities on model tools., • Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI., • Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. Required Qualifications, • BS or MS in Computer Science, Aerospace, Robotics, or related field., • 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization., • Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems., • Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management., • Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics., • Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation., • Working knowledge of Python for data analysis, test automation, or simulation orchestration., • Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools)., • Strong collaboration and communication skills across software, hardware, and systems disciplines. #LI-SM1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. As a Software Systems Test Engineer, you will be pivotal in driving integration testing of our full aircraft software system, integrating our autonomy, flight controller, and GCS software to qualify an intelligent, robust aircraft system. This role demands an engineer capable of overseeing system-level verification and validation, designing complex test scenarios, and ensuring that subsystem testing meets rigorous standards before proceeding to full system integration. You will marshal our aircraft software through full system verification & validation. Your work will directly impact the reliability and performance of our aircraft, preparing them for operational excellence in the field. WHAT YOU'LL DO: • Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software. Define test cases to verify and validate embedded or GNC software at a system level, automating them to run continuously, • Participate in design reviews for new features and design detailed test plans based on their requirements Quickly prototype solutions using software & hardware to unblock testing, harden your prototype into scalable products for continuous release testing, • Conduct and manage system verification and validation events, culminating in verified flight readiness., • Write test analyzers in Python to report and benchmark performance and qualification metrics of the system, • Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements, • Recommend improvements to our simulation models and fault injection so that we can keep pushing the capabilities of our test suite before proceeding to flight REQUIRED QUALIFICATIONS:, • 5+ years of experience in testing complex integrated software systems, preferably for robotics or vehicles by designing comprehensive test cases, • Demonstrated expertise & experience in test automation, minimally writing software to automate testing, • Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures, • Strong experience with the software product development lifecycle. Familiarity with common version control (git) and build/packaging systems (CMake, Poetry, etc), • Great understanding of system architecture, requirement derivation, and test planning across the V-model, • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field. Relevant work experience can substitute a college degree. PREFERRED QUALIFICATIONS, • 7+ years of experience in testing complex integrated software systems, preferably for robotics or vehicles by designing comprehensive test cases, • Experience building automated test solutions for aircraft of autonomous vehicles Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJOB DESCRIPTION:The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast. As a Staff Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You’ll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stack—from autonomy to avionics—before it ever flies. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence. WHAT YOU'LL DO:Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. REQUIRED QUALIFICATIONS:BS or MS in Computer Science, Aerospace, Robotics, or related field.5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).Strong collaboration and communication skills across software, hardware, and systems disciplines. PREFERRED QUALIFICATIONS:Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).Working knowledge of Python for data analysis, test automation, or simulation orchestration.Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.#LI-SM1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Union Technologies is reindustrializing America’s defense manufacturing base with a first-of-its-kind Factories-as-a-Stockpile™ model, integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale. Headquartered in Dallas, Texas, UNION is dedicated to restoring America’s industrial strength and guaranteeing deterrence for the century ahead. We recently emerged from stealth with $50M in funding led by top-tier venture investors and strategic partners. Read more in our Press Release Why This Role Exists In defense manufacturing, system reliability and compliance are inseparable. Every deployment must uphold confidentiality, integrity, and availability under CMMC Level 2 and ITAR requirements. As a DevOps Engineer, you will design, automate, and maintain secure, high-availability infrastructure that supports mission-critical applications both on-premises and in the cloud. You’ll report to the Director of IT and collaborate closely with software engineers, QA, and security teams to ensure that every build, deployment, and runtime environment meets the highest standards for security and compliance. What You’ll Do * Design, implement, and manage Kubernetes clusters (on-prem and cloud) for secure, containerized workloads. * Build and maintain CI/CD pipelines using GitHub Actions to enable controlled, automated deployments across environments. * Develop infrastructure-as-code solutions using Ansible, Helm, and other automation tools. * Secure containers and clusters with hardened baselines (DoD STIG/FIPS) and continuous compliance scanning. * Implement logging, monitoring, and alerting across infrastructure using open-source or commercial observability stacks. * Automate image builds and vulnerability scanning in accordance with CMMC / ITAR controls. * Manage configuration drift, access control, and audit trails in line with NIST 800-171 and CMMC Level 2. * Collaborate with software, QA, and security teams to integrate DevSecOps principles throughout the SDLC. * Optimize build and deployment workflows for reliability, reproducibility, and speed in regulated environments. * Participate in on-call rotations and incident response to maintain uptime and security posture. The Tools You’ll Work With * Containerization & Orchestration: Kubernetes (on-prem and cloud), Docker, Helm, Kafka * Automation & Configuration: Ansible, Bash/Python * CI/CD & Version Control: GitHub Actions, GitHub Enterprise * Monitoring & Logging: Prometheus, Grafana, Loki, ELK / Graylog * Security & Compliance: Vault, FIPS-validated cryptography, CIS Benchmarks, STIG checklists * OS & Environments: Red Hat / Oracle Linux 9, Ubuntu 22.04, hardened images, Windows Server, Active Directory * Networking & Storage: iSCSI/NFS, reverse proxy + TLS/mTLS Required Qualifications * 4 + years of hands-on experience in DevOps, SRE, or infrastructure engineering. * Proven expertise managing Kubernetes clusters and containerized applications in production. * Strong knowledge of CI/CD pipelines using GitHub Actions or similar systems. * Proficiency in Linux administration, Bash/Python scripting, and infrastructure automation (Ansible, Terraform). * Experience securing and hardening Linux servers and container images (STIG, FIPS, CIS). * Familiarity with CMMC Level 2, NIST 800-171, or ITAR compliance requirements. * Demonstrated ability to troubleshoot complex build and deployment pipelines. * Excellent documentation, collaboration, and problem-solving skills. Preferred Qualifications * Experience managing hybrid or air-gapped Kubernetes environments. * Background in DoD-aligned infrastructure or regulated manufacturing environments. * Experience integrating security scanning tools (Trivy, Anchore, Grype) into CI/CD. * Familiarity with service mesh / mTLS (Istio, Linkerd) and secret management (Vault). * Working knowledge of Azure Government, AWS GovCloud, or equivalent environments. * Understanding of GitOps patterns and declarative infrastructure management. * Certifications such as CKA, CKAD, RHCE, or Security+ are a plus. What Success Looks Like After 12 Months * All production and staging environments are fully automated and reproducible via CI/CD. * Infrastructure baselines meet or exceed CMMC Level 2 and ITAR compliance requirements. * Container and cluster vulnerabilities are remediated within SLA targets. * Continuous monitoring and alerting provide proactive visibility into system health. * DevOps practices are adopted across teams, enabling secure, predictable, and auditable software delivery. Compensation Range: $87K - $141K

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is building intelligent systems to protect service members and civilians. The Hivemind Solutions Test Department ensures that Shield AI’s autonomy performs reliably across every platform and mission profile. We’re seeking a Staff Integration & Test Engineer to lead the development and execution of advanced testing strategies across simulation, HIL, and flight environments. In this senior technical role, you will define and architect test infrastructure, drive system validation at scale, and mentor cross-functional teams in best practices for testing autonomy software and integrated hardware systems. You’ll play a key leadership role in ensuring that Hivemind autonomy delivers operational excellence in the field. What you'll do: • Lead the design and implementation of system-level integration and test architectures for Hivemind autonomy systems., • Develop scalable test automation and infrastructure frameworks spanning simulation through real-world flight validation in C++ and Python., • Define test strategies and methodologies to ensure full verification and validation coverage across multiple aircraft and mission configurations., • Serve as the technical authority for integration and test, guiding design-for-testability, data collection, and system validation strategies., • Conduct deep system debugging and root-cause analysis, collaborating with cross-functional teams to resolve complex hardware/software interactions., • Mentor and provide technical direction to junior and senior test engineers, elevating organizational test capabilities., • Support flight test operations, including pre-flight system configuration, instrumentation, and post-flight data analysis., • Interface with program managers and customers to communicate readiness, test results, and validation progress. Required qualification:, • Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Aerospace Engineering, or related technical discipline., • 8+ years of experience in system integration, test planning, and validation of complex systems—ideally within robotics, aerospace, or autonomy., • Deep technical expertise in test infrastructure, automation, and validation methodologies., • Strong proficiency in C++, Python and software/hardware integration principles., • Experience architecting and maintaining HIL/VIL and simulation environments., • Proven leadership in test planning, execution, and analysis for complex multi-system products., • Excellent communication, collaboration, and mentorship abilities., • U.S. Citizenship and ability to obtain and maintain a SECRET clearance.Preferred qualifications:, • Experience with unmanned autonomous aerial or ground vehicles., • Background in defense, aerospace, or mission-critical robotics systems., • Expertise in data analysis, telemetry systems, or automated reporting., • Strong systems engineering mindset and familiarity with configuration management and verification processes., • Demonstrated success in scaling test organizations and processes in high-growth environments. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI’s mission is to protect service members and civilians with intelligent systems. The Hivemind Solutions Test Department turns this mission into reality—bringing Shield AI’s intelligent autonomy to life across a range of aircraft and robotic platforms, including VBAT and next-generation UAS. We’re seeking a Senior Integration & Test Engineer to support and execute system-level integration and testing activities for Shield AI’s Hivemind autonomy systems across simulation, HIL, VIL, and flight environments. In this role, you will contribute to the development of test strategies, perform hands-on integration and debugging, and help ensure reliable performance of Hivemind autonomy software and its integrated hardware systems. You will collaborate closely with cross-functional engineering teams to drive high-quality validation outcomes and ensure system readiness for field operations. This role is ideal for an engineer with strong technical depth who thrives in hands-on testing, enjoys solving complex integration challenges, and is eager to grow into a future technical leader. What You'll Do: • Execute system-level integration and testing activities for Hivemind autonomy systems., • Contribute to the development of test plans, test methodologies, and validation strategies across simulation, HIL, VIL, and flight environments., • Develop and maintain test automation, tools, and infrastructure components in Python and C++., • Perform hands-on system debugging, data analysis, and root-cause investigations across hardware and software interfaces., • Support flight test operations including pre-flight configuration, system checks, and post-flight data review., • Collaborate with software, hardware, flight test, and systems engineering teams to ensure seamless system integration., • Create and maintain clear test documentation including procedures, results, and findings., • Identify opportunities to improve test efficiency, reliability, and coverage., • Provide mentorship to junior team members as appropriate and contribute to team growth and knowledge sharing. Required Qualifications:, • Bachelor’s degree in Engineering, Computer Science, Robotics, Aerospace, or related discipline, or equivalent experience., • 4–7 years of experience in system integration and testing for robotics, autonomy, or aerospace systems., • Strong hands-on experience with hardware and software testing, including flight or field test support., • Strong proficiency in C++ and Python for automation, analysis and tool development., • Experience with SIL/HIL/VIL environments and simulation-based validation., • Proven ability to troubleshoot complex systems involving hardware, software, and networking., • Excellent collaboration and communication skills across multidisciplinary teams., • U.S. Citizenship and ability to obtain and maintain a SECRET clearance. Preferred Qualifications:, • Experience with unmanned autonomous aerial or ground vehicles., • Background in aerospace, defense, or robotics industries., • Experience developing automated test frameworks or infrastructure., • Hands-on background (e.g., FIRST Robotics, maker projects, or flight experience). Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is on a mission to build the world’s best AI pilot—and we’re looking for a Harness Design Engineer to help power that vision. In this high-impact, high-ownership role, you’ll be designing complex wire harnesses and cable assemblies that are the nervous system of our next-generation autonomous UAV platform. Your deep expertise in harness design won’t just support the mission—it will enable it. From concept to deployment, you’ll play a critical role in ensuring reliability, precision, and performance in the field, where failure is not an option. If you’re passionate about cutting-edge aerospace technology and want to build systems that make a real-world difference, this is your chance to make your mark—on the ground and in the skies. What you'll do: • Drive design of wire harnesses and cable assemblies for autonomous UAVs, • Perform electrical and environmental analysis for harness reliability, • Prototype and test harnesses in dynamic, mission-critical environments, • Collaborate with avionics, systems, and manufacturing teams for integration Required qualifications:, • Bachelor’s degree in Electrical, Mechanical, or Aerospace Engineering, • 2+ years in wire harness design for aerospace or robotics, • Strong CAD skills (NX or CATIA preferred) for 3D harness modeling, • Experience using EWIS design software (Zuken, Capital, etc), • Expertise in GD&T, tolerance stack-ups, and IPC/WHMA-A-620 standards, • Experience with electrical schematics and connector selection, • Hands-on experience with harness fabrication or testing, • Ability to work independently in fast-paced, cross-functional teams, • A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others, • Experience designing harnesses for UAVs, aircraft, or spacecraft, • Familiarity with EWIS compliance and RTCA DO-160 testing, • Proficiency in failure mode analysis (FMEA) and root cause investigations Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionISEE is seeking an experienced Senior Software Engineer to join our team. The ideal candidate has several years of work experience, and have worked on complex, performance-critical code-bases. Role responsibilities include:- Support full software development life cycle for Autonomous Vehicle software stack- Build efficient, robust and secure infrastructure enabling responsive, transparent and collaborative product development and testing- Build proprietary tools for internal development teams Qualifications- BS or MS in Computer Science or a related field- 5+ years of Software Engineering experience- Interest and passion for developing and hardening novel, ground-breaking technology- Extensive experience with programming, system design and algorithm design- Expert in C/C++ and/or Python- Excellent debugging expertise on Linux to debug hard-to-reproduce whole-system problems- Collaborate cross functionally with hardware engineering teams to enable the use of new components/devices on the self-driving vehicles Preferred- Experience with real-time system development- Experience with distributed systems design and architecture- Experience with troubleshooting and tuning systems- Robotics experience is a plus We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, 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: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Software Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will...- Architect and implement the next generation of our scenario framework, evolving it to support scenario generation at scale for Waabi World and Mixed Reality Testing.- Design clean, intuitive APIs that empower researchers, autonomy developers, and systems engineers across Waabi to author and generate scenarios easily and efficiently.- Build robust systems in Python and Rust that balance flexibility, performance, and maintainability.- Collaborate with researchers to productionize cutting-edge research into robust, scalable systems.- Champion engineering excellence and contribute to the technical direction of the team. Qualifications:- Strong software engineering fundamentals with proven experience architecting and refactoring complex production systems.- Demonstrated excellence in API design, particularly for developer-facing tools and frameworks.- Passion for software craftsmanship–you care deeply about code quality, API ergonomics, and developer experience. Bonus/nice to have:- Experience in self-driving, traffic simulation, or a related field.- Experience with ML frameworks such as PyTorch, TensorFlow, or Jax.- Experience with imitation learning, reinforcement learning, planning, and/or robotics.- Experience with simulation systems, game engines, or related technologies. 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. 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 DescriptionISEE is seeking an experienced Senior Software Engineer to join our team. The ideal candidate has several years of work experience, and have worked on complex, performance-critical code-bases. Role responsibilities include:- Support full software development life cycle for Autonomous Vehicle software stack- Build efficient, robust and secure infrastructure enabling responsive, transparent and collaborative product development and testing Qualifications- BS or MS in Computer Science or a related field- 5+ years of Software Engineering experience- Interest and passion for developing and hardening novel, ground-breaking technology- Extensive experience with programming, system design and algorithm design- Expert in C/C++ and/or Python- Excellent debugging expertise on Linux to debug hard-to-reproduce whole-system problems- Collaborate cross functionally with hardware engineering teams to enable the use of new components/devices on the self-driving vehicles Preferred- Experience with real-time system development- Experience with distributed systems design and architecture- Experience with troubleshooting and tuning systems- Robotics experience is a plus We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We’re looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies. You’ll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability. What you'll do: • Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms., • Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control., • Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state., • Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions., • Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance., • Lead 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:, • Bachelor’s degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ year., • Demonstrated experience building real-time or performance-sensitive applications—preferably for UAVs, robotics, autonomous vehicles, or simulation environments., • 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. Preferred 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., • Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices., • Exposure to distributed systems and cloud integration for telemetry data pipelines. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionThe hardware team at ISEE is seeking a detail oriented senior lead embedded systems engineer to both lead and execute embedded software development. This role has critical responsibilities in safety critical software development as well as bridging the gap between hardware and higher level software systems. Role responsibilities include:- Development, verification and maintenance of embedded software for autonomous vehicle ECUs, sensors, actuators and safety systems. Qualifications-Bachelor/Master Degree in Electrical Engineering or Computer Science-Experience with embedded development in automotive or robotics domains-Proficiency in embedded C-Passionate about self-driving vehicles and robotics-Excellent communication skills-Experience with safety critical system design Preferred-5+ years of experience-Experience with Automotive CAN J1939-Experience with Nvidia Jetson Orin or Nvidia Drive platforms-Experience with Matlab/Simulink ecosystem-Familiarity with functional safety, e.g. ISO 26262 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Mass Markets - JobID: 13722 [Customer Service Representative] As a Customer Service Representative at Mass Markets, you'll: Handle inbound and outbound contacts in a courteous, timely, and professional manner; Ensure first call resolution through problems solving and effective call handling; Researc

Waste Connections - 12150 Garland Rd [Customer Service Representative] As a Customer Service Representative at Waste Connections, you'll: Work in conjunction with other departments to resolve customer disputes; Interview customers and record interview information into computer for customer service;

VortexWorks provides customer-experience and support solutions for nationally recognized brands across multiple industries.We connect motivated professionals with flexible, remote opportunities where performance, professionalism, and communication truly matter.Handle customer-service or sales calls

Customer Support / Remote] - Anywhere in U.Medical, dental & vision / PTO / Paid training - As a Customer Service Rep at Assurant, you will: Handle inbound customer calls and/or e-mails with empathy and professionalism; Resolve issues, answer questions, and provide proactive solutions; Document inte

AUTHORITY: To act in the best interest of the company and self in the scheduling of Service and the maintaining of proper customer relations and records.RESPONSIBILITIES Answer service phone.Scheduling of service calls in a timely manner in Service Titan Evaluate urgency of customer’s needs.Evalua

Customer Service Representative (Part-Time).Job Category: Customer Service.Requisition Number: CUSTO003617.Communicate directly with distribution centers and customers to ensure accuracy in documentation, information, and services.Handle phone and emails from customers pertaining to price quotes for

Customer Service Representative.Are you a people person? Do you love helping others? U-Haul is in search of friendly, motivated people for the position of Customer Service Representative.As a Customer Service Representative, you will work as part of a supportive team to be the face of U-Haul company

Customer Service Representative at Story Road Animal Hospital.We are One Packa united team working together to elevate the love and lives of pet families.Our pet-obsessed professionals create a connected care network of trustworthy partners who bring creative innovation every day.We are revolutioniz