Senior Engineer jobs at Shield AI

Founded 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 nine 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. Passion for Shield AI's mission and advancing intelligent autonomy for real-world use. #LI-LD1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Founded 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 nine 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 Staff Mission Systems Engineer, you will take a leading, hands-on role in the integration of avionics, sensors, and mission payloads onto the V-BAT and our next-generation aircraft. You will be expected to execute independently, drive technical decision-making, and define standards that raise the bar for the entire Mission Systems Engineering team. We're looking for deeply experienced engineers with strong hardware + software integration skills-people who can architect systems, troubleshoot the hardest problems, rapidly prototype 0→1 solutions, and deliver reliable capabilities into real-world field use with minimal oversight. In this role, you will be a hands-on technical leader, owning the full lifecycle of mission and avionics systems-from concept through flight testing and deployment-while improving the tools, processes, and engineering rigor that enable the team to be more effective and efficient. Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry. What you'll do: Architect, design, integrate, and validate avionics and mission sensors and payloads for V-BAT -from concept through production & deployment Work directly with operators, mission SMEs, and internal stakeholders to understand user needs and prioritize system features and capabilities. Drive 0→1 development: take loosely defined mission problems, propose solutions, prototype quickly, iterate with flight test data, and mature systems into production-ready capabilities. Lead cross functional development: mechanical & electrical design, firmware/embedded interfaces, data paths, networking, and onboard software integration. Debug and root-cause complex hardware, software, and integration failures throughout development and flight operations. Lead hands-on bring-up, lab testing, HIL testing, and flight test preparation. Support flight operations with real-time troubleshooting, anomaly resolution, and post-mission data analysis. Use Python, MATLAB, or similar tools to analyze logs, automate tests, and drive informed design decisions. Collaborate with Mechanical, Electrical, Software, Flight Test, and Manufacturing to deliver reliable and maintainable avionics systems. Drive continuous design improvement to increase reliability, robustness, and mission performance. Required qualifications: 8+ years engineering experience with electrical system design, integration, testing, debug, and repair Demonstrated ability to independently own and deliver complex system integrations with minimal guidance. Expert-level proficiency with schematics, wiring/harness design, test equipment, and hands-on HW/SW debugging. Proven experience taking systems from 0→1 and into fielded operational use. Strong track record of establishing technical standards, improving processes, and elevating the performance of engineering teams. Demonstrated leadership through technical execution, not just oversight-operating as a go-to problem solver on high-impact challenges. Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred qualifications: Ownership of major avionics, payload, or mission systems from architecture through field deployment. Experience leading field testing, flight line operations, or hardware-in-the-loop environments. Experience building or improving internal engineering processes, documentation frameworks, or testing standards. Track record of solving ambiguous, first-of-kind engineering problems with hands-on innovation. Active Secret Clearance (or ability to obtain one). #LI-SM1#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.

Founded 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 nine 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. Passion for Shield AI's mission and advancing intelligent autonomy for real-world use. #LI-LD1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded 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 nine 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 Staff Mission Systems Engineer, you will take a leading, hands-on role in the integration of avionics, sensors, and mission payloads onto the V-BAT and our next-generation aircraft. You will be expected to execute independently, drive technical decision-making, and define standards that raise the bar for the entire Mission Systems Engineering team. We're looking for deeply experienced engineers with strong hardware + software integration skills-people who can architect systems, troubleshoot the hardest problems, rapidly prototype 0→1 solutions, and deliver reliable capabilities into real-world field use with minimal oversight. In this role, you will be a hands-on technical leader, owning the full lifecycle of mission and avionics systems-from concept through flight testing and deployment-while improving the tools, processes, and engineering rigor that enable the team to be more effective and efficient. Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry. What you'll do: Architect, design, integrate, and validate avionics and mission sensors and payloads for V-BAT -from concept through production & deployment Work directly with operators, mission SMEs, and internal stakeholders to understand user needs and prioritize system features and capabilities. Drive 0→1 development: take loosely defined mission problems, propose solutions, prototype quickly, iterate with flight test data, and mature systems into production-ready capabilities. Lead cross functional development: mechanical & electrical design, firmware/embedded interfaces, data paths, networking, and onboard software integration. Debug and root-cause complex hardware, software, and integration failures throughout development and flight operations. Lead hands-on bring-up, lab testing, HIL testing, and flight test preparation. Support flight operations with real-time troubleshooting, anomaly resolution, and post-mission data analysis. Use Python, MATLAB, or similar tools to analyze logs, automate tests, and drive informed design decisions. Collaborate with Mechanical, Electrical, Software, Flight Test, and Manufacturing to deliver reliable and maintainable avionics systems. Drive continuous design improvement to increase reliability, robustness, and mission performance. Required qualifications: 8+ years engineering experience with electrical system design, integration, testing, debug, and repair Demonstrated ability to independently own and deliver complex system integrations with minimal guidance. Expert-level proficiency with schematics, wiring/harness design, test equipment, and hands-on HW/SW debugging. Proven experience taking systems from 0→1 and into fielded operational use. Strong track record of establishing technical standards, improving processes, and elevating the performance of engineering teams. Demonstrated leadership through technical execution, not just oversight-operating as a go-to problem solver on high-impact challenges. Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred qualifications: Ownership of major avionics, payload, or mission systems from architecture through field deployment. Experience leading field testing, flight line operations, or hardware-in-the-loop environments. Experience building or improving internal engineering processes, documentation frameworks, or testing standards. Track record of solving ambiguous, first-of-kind engineering problems with hands-on innovation. Active Secret Clearance (or ability to obtain one). #LI-SM1#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. 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.

Founded 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 nine 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 is seeking an exceptional FPGA Firmware Engineer to join the team building our next-generation autonomous UAV platform. This is a rare opportunity to make a direct impact at the earliest stages of development, tackling open-ended design challenges that will shape the future of autonomous flight. You will collaborate closely with hardware, software, and systems teams to develop high-performance digital designs, enable reliable system communication, and ensure precise synchronization across complex architectures. This is an opportunity to solve challenging technical problems at the forefront of autonomy and aerospace innovation, with a direct impact on fielded capabilities. WHAT YOU'LL DO: Design, implement, and verify FPGA-based communication modules for advanced UAV platforms. Develop solutions that enable precise timing synchronization and redundancy across flight controllers. Integrate FPGA firmware with system-level architectures in collaboration with cross-functional engineering teams. Debug, test, and optimize for reliability, latency, and throughput. Add automated tests by integrating with hardware-in-the-loop (HIL) and simulation systems. Contribute to FPGA architecture discussions and help define long-term technical direction within the platform. REQUIRED QUALIFICATIONS: Bachelor's degree in electrical engineering, computer engineering, or related field; or equivalent practical experience. Strong experience with FPGA design, implementation, and verification using VHDL or SystemVerilog. Demonstrated ability to build reliable, high-performance digital communication systems. Solid understanding of timing closure, clock domain crossing, and system-level integration. Comfortable working in a fast-paced, collaborative environment with evolving requirements. PREFERRED QUALIFICATIONS: Experience with the Xilinx FPGA ecosystem (Vivado, toolchains, etc.). In-depth understanding of Ethernet and network stack implementation. Familiarity with MIL-STD-1553 avionics data bus. Experience designing solutions for safety-critical or real-time systems. 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.

JOB 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.8+ 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

Founded 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 nine 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 Staff State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability. Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.What you'll do: Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments. Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks. Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance. Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems. Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions. Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions. Required qualifications: Typically requires a minimum of 7 years of relevant experience with a bachelor's degree; or 6 years with a master's degree; or 4 years with a PhD; or equivalent practical experience. Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors. Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters). Proficient in C++11 or newer in real-time environments. Comfortable working in Linux, with experience using standard command-line tools and scripting. Strong written and verbal communication skills with a collaborative mindset. Demonstrated success working in fast-paced development cycles and delivering high-quality results. Preferred qualifications: Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions. Exposure to visual odometry or computer vision-based navigation approaches. Experience optimizing code for performance on compute-constrained platforms. Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs). Experience transitioning navigation solutions from research into production environments. #LI-SM1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded 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 nine 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 redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we're building a next-generation aircraft like no other-one that will push the boundaries of innovation and performance. We are looking for a Staff Electromechanical Engineer to join our team, focused on the design and integration of avionics systems and driving designs from concept to production. If you thrive in fast-paced environments, excel in cross-functional collaboration, and are passionate about building high-performance avionics systems, we want to hear from you. What you'll do: Design complex electro-mechanical solutions for avionics packaging, electrical interconnects, thermal management, and aircraft integration Perform structural, preliminary thermal, and modal analyses for avionics to ensure survivability in harsh environments Ensure avionics meet performance, safety, environmental, and EMI/EMC compliance standards, including DO-160, DO-254, DO-178C, MIL-STD-810, and MIL-STD-461 Own your design work from concept to reviews through system validation, failure analysis, and flight test readiness. Required qualifications: B.S. in Mechanical/Aerospace Engineering 8+ years of experience in mechanical & electrical equipment design for aerospace, including harness integration and mechanical component design Expertise in CAD software (NX, SolidWorks, CATIA, or similar) for 3D modeling, drawing creation, and system layout. Familiarity with eCAD software (Altium, Cadence, Allegro), and harness design software (Capital, Zuken) Experience working with electrical engineers to define PCB constraints, develop circuit cards, and care for all the mechanical interfaces Familiarity with the PCB layout process and advanced manufacturing methods Experience with finite element analysis (FEA), thermal analysis, and fatigue/lifecycle testing Ability to work in a fast-paced, agile development environment with evolving priorities Preferred qualifications: Experience with UAVs, aircraft, or robotic electromechanical systems Exposure to environmental and dynamic testing of electronics, including vibration, thermal cycling, and fatigue Experience working directly with fabrication shops, contract manufacturers, and suppliers. Ability to thrive in startups, R&D, or defense innovation environments Active or eligible for U.S. Secret Clearance. #LI-JM2#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded 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 nine 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:The Senior Production Engineer applies 7+ years of experience designing high-efficiency manufacturing systems, material flow loops, and pilot cell layouts for aerospace or advanced hardware production. You will architect end to end workflows from point-of-use material presentation to full-factory flow modeling ensuring takt compliance, ergonomic operations, and scalable production readiness. What you'll do: Map current-state flow: cycle/takt times, operator walk paths, WIP, supermarkets/kitting strategies, replenishment loops. Produce detailed 2D layouts and 3D/VR models with utilities, rack placement, POUs, FIFO lanes, safety zones, and equipment footprints. Run capacity analysis, line balancing, buffer sizing, and kanban calculations. Define material presentation (kitting, bulk, sequencing) and packaging standards for mechanical/composite/electrical parts. Lead cross-functional layout design reviews with ME, IE, Quality, EHS, and Production. Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity, and bottlenecks. Write a Launch Layout & Flow Playbook including signage, floor markings, tugger routes, supermarket definitions, and build-station standards. Support physical installation (tape-outs, rack placement, utility tie-ins) and validate performance through time studies and spaghetti diagrams. Tools & Skills AutoCAD, Visio, Plant Simulation/FlexSim/AnyLogic, time-study methods, line balancing, 5S/visual management, industrial engineering principles. Required qualifications: 7+ years of experience in factory layout, industrial engineering, material flow design, or related AME functions. Bachelor's degree in Mechanical, Industrial, Systems, or related engineering field. Experience in prototype manufacturing in a startup or rapid-growth environment. Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly. Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities. Preferred qualifications: Knowledge of quality standards, such as AS9100 or ISO 9001. Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems. Strong project management skills, including experience managing multiple priorities and deadlines. 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.

Founded 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 nine 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:The Senior NPI Manufacturing Engineer leverages 7+ years of experience establishing manufacturing sequences, standardized work, ergonomic workstations, and MES-driven instructions for aerospace assemblies. This role drives production stability during early builds and rate acceleration by developing repeatable processes, eliminating waste, and enhancing quality. What you'll do: Define the Bill of Process and manufacturing sequence for assigned subassemblies or cells. Map MBOM to operations, tooling needs, and process controls. Build ergonomic workstations (height/reach zones, shadow boards, calibrated torque tools, ESD controls, POU materials). Create visual, operator-ready Work Instructions with torque specs, PPE, inspection points, and MES revision control. Conduct time studies, compute takt/CT, identify bottlenecks, and lead kaizen improvements. Establish standardized work, visual controls, job aids, and layered audit systems; iterate with operators. Capture shop-floor lessons learned defects, build issues, tooling feedback and drive root cause and corrective action. Partner with Quality on in-process checks, error-proofing, and FAI readiness. Implement ECOs, validate process updates, and maintain work instructions accordingly. Tools & Skills: MES/QMS systems, torque analyzers, Minitab/Excel (SPC, capability, DOE), lean/5S, PFMEA, ergonomic assessment tools, Control Plans, Standard Operating Procedures. Required qualifications: 7+ years of experience in manufacturing engineering, production systems, process development, or assembly engineering. Bachelor's degree in Mechanical, Industrial, Mechatronics, or related STEM field. Experience in prototype manufacturing in a startup or rapid-growth environment. Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly. Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities. Preferred qualifications: Knowledge of quality standards, such as AS9100 or ISO 9001. Proficiency in CAD software Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems. Hands-on experience with manufacturing equipment and tooling design. Strong project management skills, including experience managing multiple priorities and deadlines. 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.

JOB DESCRIPTION:Shield AI is building autonomous aircraft that push the limits of aviation. The Software Integration & Operations (SIO) team builds and sustains the release systems that make safe, rapid, and repeatable deployment of aircraft software possible. As a Simulation Modeling Engineer, you will be responsible for improving and adding to our world and aerospace models so that our operator training and internal engineering pipelines have a seamless translation from sim to real results. The capabilities you deliver will directly impact our ability to deliver new features to operators, with speed & ease. WHAT YOU'LL DO:Develop and enhance aerospace physics models (aerodynamics, propulsion, environmental, sensor, etc.) for use in simulation and evaluation. Translate theoretical models into efficient, reliable C++ and Matlab implementations with a focus on numerical accuracy and performance. Validate models against real-world data and authoritative references (e.g., COESA atmosphere, wind tunnel data, flight test logs). Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools. Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases. Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning-based surrogates) to push the state of the art. Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs. REQUIRED QUALIFICATIONS:BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 4+ years of aerospace modeling experience. 1+ years of experience working on pilot/operator training systems. C++ foundation with experience implementing numerical methods. Demonstrated experience with aerospace models such as: Aerodynamics (lift/drag curves, stability derivatives, dynamic response) Atmosphere/environment (COESA, ICAO, gravity, wind models) Vehicle dynamics Experience validating simulations against real-world or experimental data. Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models. Passion for aerospace and autonomous vehicle systems. Strong problem-solving mindset with a collaborative and detail-oriented approach. PREFERRED QUALIFICATIONS:Experience with Eigen, MATLAB/Simulink, or SciPy for model prototyping and validation. Background in multi-body dynamics or flight mechanics. Familiarity with sensor models (GPS, IMU, radar, etc.) for simulation environments. Knowledge of uncertainty quantification and statistical analysis methods. Experience with parallelization or GPU acceleration for compute-heavy models.Familiarity with Python for test automation and data analysis pipelines. Experience contributing to simulation pipelines in aerospace, defense, or robotics domains. #LI-SM1

Founded 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 nine 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 redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we're building a next-generation aircraft like no other-one that will push the boundaries of innovation and performance. We are looking for a Staff Electromechanical Engineer to join our team, focused on the design and integration of avionics systems and driving designs from concept to production. If you thrive in fast-paced environments, excel in cross-functional collaboration, and are passionate about building high-performance avionics systems, we want to hear from you. What you'll do: Design complex electro-mechanical solutions for avionics packaging, electrical interconnects, thermal management, and aircraft integration Perform structural, preliminary thermal, and modal analyses for avionics to ensure survivability in harsh environments Ensure avionics meet performance, safety, environmental, and EMI/EMC compliance standards, including DO-160, DO-254, DO-178C, MIL-STD-810, and MIL-STD-461 Own your design work from concept to reviews through system validation, failure analysis, and flight test readiness. Required qualifications: B.S. in Mechanical/Aerospace Engineering 8+ years of experience in mechanical & electrical equipment design for aerospace, including harness integration and mechanical component design Expertise in CAD software (NX, SolidWorks, CATIA, or similar) for 3D modeling, drawing creation, and system layout. Familiarity with eCAD software (Altium, Cadence, Allegro), and harness design software (Capital, Zuken) Experience working with electrical engineers to define PCB constraints, develop circuit cards, and care for all the mechanical interfaces Familiarity with the PCB layout process and advanced manufacturing methods Experience with finite element analysis (FEA), thermal analysis, and fatigue/lifecycle testing Ability to work in a fast-paced, agile development environment with evolving priorities Preferred qualifications: Experience with UAVs, aircraft, or robotic electromechanical systems Exposure to environmental and dynamic testing of electronics, including vibration, thermal cycling, and fatigue Experience working directly with fabrication shops, contract manufacturers, and suppliers. Ability to thrive in startups, R&D, or defense innovation environments Active or eligible for U.S. Secret Clearance. #LI-JM2#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 building autonomous aircraft that push the limits of aviation. The Software Integration & Operations (SIO) team builds and sustains the release systems that make safe, rapid, and repeatable deployment of aircraft software possible. As a Simulation Modeling Engineer, you will be responsible for improving and adding to our world and aerospace models so that our operator training and internal engineering pipelines have a seamless translation from sim to real results. The capabilities you deliver will directly impact our ability to deliver new features to operators, with speed & ease. WHAT YOU'LL DO:Develop and enhance aerospace physics models (aerodynamics, propulsion, environmental, sensor, etc.) for use in simulation and evaluation. Translate theoretical models into efficient, reliable C++ and Matlab implementations with a focus on numerical accuracy and performance. Validate models against real-world data and authoritative references (e.g., COESA atmosphere, wind tunnel data, flight test logs). Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools. Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases. Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning-based surrogates) to push the state of the art. Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs. REQUIRED QUALIFICATIONS:BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 4+ years of aerospace modeling experience. 1+ years of experience working on pilot/operator training systems. C++ foundation with experience implementing numerical methods. Demonstrated experience with aerospace models such as: Aerodynamics (lift/drag curves, stability derivatives, dynamic response) Atmosphere/environment (COESA, ICAO, gravity, wind models) Vehicle dynamics Experience validating simulations against real-world or experimental data. Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models. Passion for aerospace and autonomous vehicle systems. Strong problem-solving mindset with a collaborative and detail-oriented approach. PREFERRED QUALIFICATIONS:Experience with Eigen, MATLAB/Simulink, or SciPy for model prototyping and validation. Background in multi-body dynamics or flight mechanics. Familiarity with sensor models (GPS, IMU, radar, etc.) for simulation environments. Knowledge of uncertainty quantification and statistical analysis methods. Experience with parallelization or GPU acceleration for compute-heavy models.Familiarity with Python for test automation and data analysis pipelines. Experience contributing to simulation pipelines in aerospace, defense, or robotics domains. #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.

Founded 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 nine 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:The Senior Production Engineer applies 7+ years of experience designing high-efficiency manufacturing systems, material flow loops, and pilot cell layouts for aerospace or advanced hardware production. You will architect end to end workflows from point-of-use material presentation to full-factory flow modeling ensuring takt compliance, ergonomic operations, and scalable production readiness. What you'll do: Map current-state flow: cycle/takt times, operator walk paths, WIP, supermarkets/kitting strategies, replenishment loops. Produce detailed 2D layouts and 3D/VR models with utilities, rack placement, POUs, FIFO lanes, safety zones, and equipment footprints. Run capacity analysis, line balancing, buffer sizing, and kanban calculations. Define material presentation (kitting, bulk, sequencing) and packaging standards for mechanical/composite/electrical parts. Lead cross-functional layout design reviews with ME, IE, Quality, EHS, and Production. Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity, and bottlenecks. Write a Launch Layout & Flow Playbook including signage, floor markings, tugger routes, supermarket definitions, and build-station standards. Support physical installation (tape-outs, rack placement, utility tie-ins) and validate performance through time studies and spaghetti diagrams. Tools & Skills AutoCAD, Visio, Plant Simulation/FlexSim/AnyLogic, time-study methods, line balancing, 5S/visual management, industrial engineering principles. Required qualifications: 7+ years of experience in factory layout, industrial engineering, material flow design, or related AME functions. Bachelor's degree in Mechanical, Industrial, Systems, or related engineering field. Experience in prototype manufacturing in a startup or rapid-growth environment. Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly. Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities. Preferred qualifications: Knowledge of quality standards, such as AS9100 or ISO 9001. Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems. Strong project management skills, including experience managing multiple priorities and deadlines. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine 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 Applications team within Software Integration & Operations builds internal tools that power Shield AI's most critical operations across Production, Customer Success, Supply Chain, and Engineering. Our portfolio spans over-the-air (OTA) update systems, simulation training platforms, fleet sustainment software, and enterprise applications supporting aircraft manufacturing. We're growing quickly and looking for a Full-Stack Software Engineer to help design, develop, and deploy robust applications that directly enable manufacturing, operational planning, and execution - all within a Foundry-integrated ecosystem. If you thrive in fast-moving environments, enjoy solving complex problems with modern software, and want to see your code deliver immediate impact, this role is for you. What You'll Do: Own the development and release of Foundry-backed applications that power MES, ERP, and operational analytics. Develop end-to-end features: From backend services and data transformations to user-facing interfaces - ensuring performance, maintainability, and security. Collaborate with production managers, engineers, and supply chain teams to understand workflows and deliver scalable software solutions. Leverage Palantir Foundry: Use Foundry's APIs, ontology, and visualization tools to integrate data across multiple domains. Deliver continuously: Write well-tested, maintainable code and iterate quickly based on real-world feedback. Shape the roadmap: Contribute to technical direction, make sound architecture decisions, and help scale our Foundry development capabilities. Required Qualifications: 5+ years of experience in full-stack application development with proven ownership of deployed solutions. Hands-on experience designing and operating Python data-processing pipelines with pandas, NumPy, Dask, and PySpark. Strong skills in data modeling, working with large datasets, and building analytical workflows. Solid foundation in software design, testing, and documentation. Ability to deliver complex projects independently while collaborating effectively across teams. Preferred Qualifications: Familiarity with Palantir Foundry (ontology, pipelines, APIs, visualization) or other large-scale data platforms. Typescript and modern front-end frameworks (React, Vue, etc.). Experience building software for manufacturing. Familiarity with modern software delivery practices (version control, testing, CI/CD). #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. 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: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.8+ 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 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 nine 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 is seeking an exceptional FPGA Firmware Engineer to join the team building our next-generation autonomous UAV platform. This is a rare opportunity to make a direct impact at the earliest stages of development, tackling open-ended design challenges that will shape the future of autonomous flight. You will collaborate closely with hardware, software, and systems teams to develop high-performance digital designs, enable reliable system communication, and ensure precise synchronization across complex architectures. This is an opportunity to solve challenging technical problems at the forefront of autonomy and aerospace innovation, with a direct impact on fielded capabilities. WHAT YOU'LL DO: Design, implement, and verify FPGA-based communication modules for advanced UAV platforms. Develop solutions that enable precise timing synchronization and redundancy across flight controllers. Integrate FPGA firmware with system-level architectures in collaboration with cross-functional engineering teams. Debug, test, and optimize for reliability, latency, and throughput. Add automated tests by integrating with hardware-in-the-loop (HIL) and simulation systems. Contribute to FPGA architecture discussions and help define long-term technical direction within the platform. REQUIRED QUALIFICATIONS: Bachelor's degree in electrical engineering, computer engineering, or related field; or equivalent practical experience. Strong experience with FPGA design, implementation, and verification using VHDL or SystemVerilog. Demonstrated ability to build reliable, high-performance digital communication systems. Solid understanding of timing closure, clock domain crossing, and system-level integration. Comfortable working in a fast-paced, collaborative environment with evolving requirements. PREFERRED QUALIFICATIONS: Experience with the Xilinx FPGA ecosystem (Vivado, toolchains, etc.). In-depth understanding of Ethernet and network stack implementation. Familiarity with MIL-STD-1553 avionics data bus. Experience designing solutions for safety-critical or real-time systems. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

JOB DESCRIPTION:Shield AI is building autonomous aircraft that redefine aviation. The Software Integration & Operations (SIO) team builds the pipelines, tools, and systems that make fast, reliable delivery of complex aircraft software possible. 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). 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). Background in robotics, autonomy, or aerospace systems. #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.

Founded 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 nine 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:Our 2026 Co-Op program is an excellent opportunity for rising 2026 graduates to gain deep, hands-on experience in a mission-driven and innovative engineering environment. This paid, full-time program spans multiple months during the academic year, offering extended immersion in real-world hardware development and testing. As a Co-Op on our Hardware Test Engineering team, you'll have the opportunity to contribute meaningfully across Mechanical Engineering, Electrical Engineering, and Software Engineering. You'll work cross-functionally, gain exposure to cutting-edge aerospace technology, and help build and maintain systems that ensure the reliable testing of our hardware products. Your work will have direct impact on critical test infrastructure - and may open the door to future full-time opportunities after graduation. The ideal start date is January 2026, and the end date is flexible (around~6 months).What you'll do: Develop automated test scripts and frameworks in Python. Build and maintain test cases for PCBAs, electrical fixtures, and system-level validation. Implement data pipelines and visualize results in Grafana dashboards. Collaborate with ME/EE interns to integrate automation into test stands. Analyze large volumes of test data to improve test coverage and reliability. Other duties as assigned. Required qualifications: You are an undergraduate, graduate, or PhD student expected to graduate in December 2025 or Spring 2026. Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related STEM field. Strong understanding of engineering fundamentals relevant to your discipline. Experience with hands-on technical work in a lab, production, or project setting. Demonstrated history of taking ownership of projects and delivering results. Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred qualifications: Experience writing Python test scripts. Familiarity with Grafana or other data visualization tools. Knowledge of databases and test data pipelines. Experience interfacing with hardware APIs, drivers, or lab automation tools. Demonstrated adaptability, agility, and ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. #intern 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.