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. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience. What you'll do: Develop advanced perception algorithms - Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks - Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities - Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs - Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance - Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration - Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings - Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams - Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing - Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments. Travel Requirement - Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience. Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications. Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs. Proficiency with version control, debugging, and test-driven development in cross-functional teams. Ability to obtain a SECRET clearance. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. Experience deploying perception software on SWaP-constrained platforms. Familiarity with validating perception systems during flight test events or operational environments. Understanding of sensing challenges in denied or degraded conditions. Exposure to perception applications across air, maritime, and ground platforms. 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. 160000 - 240000 USD a year
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. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience. What you'll do: Develop advanced perception algorithms - Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks - Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities - Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs - Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance - Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration - Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings - Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams - Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing - Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments. Travel Requirement - Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience. Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications. Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs. Proficiency with version control, debugging, and test-driven development in cross-functional teams. Ability to obtain a SECRET clearance. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. Experience deploying perception software on SWaP-constrained platforms. Familiarity with validating perception systems during flight test events or operational environments. Understanding of sensing challenges in denied or degraded conditions. Exposure to perception applications across air, maritime, and ground platforms. 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. 160000 - 240000 USD a year
Shield AI
Engineer II, Full Stack Software - Autonomy Tooling & Visualization (R4125) Join to apply for the Engineer II, Full Stack Software - Autonomy Tooling & Visualization (R4125) role at Shield AI Founded in 2015, Shield AI is a venture-backed deep tech company with a 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. Are you a passionate software engineer who loves building powerful tools and intuitive user experiences that accelerate innovation in autonomy? Do you thrive in full stack development, turning complex workflows into seamless, high performance tools that empower others? If so, you could be the force that helps shape the future of autonomy at Shield AI. As a Full Stack Developer on the Pilot Foundations team, you'll develop internal and external facing tools that support the entire Pilot autonomy ecosystem, from data visualization and developer workflows to performance analysis and UX integration across our custom and third party platforms and environments. You'll collaborate across autonomy, perception, and simulation teams to create software that directly enhances how we build, test, and deliver our mission critical autonomy products. WHAT YOU'LL DO Design and develop full stack tools that simplify workflows, improve data visualization, and elevate user experience across autonomy development. Build reliable backend systems and efficient front end components that integrate with autonomy software, CI pipelines, and mission analysis tools. Automate analysis, testing, and deployment processes to improve developer efficiency and product quality. Own projects end to end, collaborating across teams and cross functional initiatives to define needs, prototype solutions, and deliver production ready results. PROJECTS YOU MIGHT WORK ON Develop dashboards that visualize mission outcomes, task progress, and behavior trees in real time. Create guided UIs that help engineers and customers configure sensors, tune parameters, and analyze performance. Build tools that automatically generate and visualize regression tests or metrics from CI pipelines. Enhance containerized developer workflows to simplify environment setup and local experimentation. REQUIRED QUALIFICATIONS You have a Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. You have 3 or more years of professional software development experience, including end to end delivery of production systems. You are proficient in C++ and Python and can contribute to production level codebases. You have experience with Git, CI/CD tools (e.g., GitLab CI or Azure DevOps), and containerization with Docker. You can independently design, implement, test, and deploy software solutions with minimal supervision. PREFERRED QUALIFICATIONS You have experience developing full stack applications or developer tooling. You have built visualization or UX tools for technical users or data intensive workflows. You have experience with ROS1 or ROS2. You have experience with robotics or autonomy concepts such as planning, mapping, perception, control, or behaviors. You have experience with Foxglove or similar data visualization platforms and are proficient in TypeScript. You are familiar with DevOps practices, automation frameworks, or infrastructure supporting large scale data systems. $131,921 - $197,881 a year 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.
Engineer II, Full Stack Software - Autonomy Tooling & Visualization (R4125) Join to apply for the Engineer II, Full Stack Software - Autonomy Tooling & Visualization (R4125) role at Shield AI Founded in 2015, Shield AI is a venture-backed deep tech company with a 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. Are you a passionate software engineer who loves building powerful tools and intuitive user experiences that accelerate innovation in autonomy? Do you thrive in full stack development, turning complex workflows into seamless, high performance tools that empower others? If so, you could be the force that helps shape the future of autonomy at Shield AI. As a Full Stack Developer on the Pilot Foundations team, you'll develop internal and external facing tools that support the entire Pilot autonomy ecosystem, from data visualization and developer workflows to performance analysis and UX integration across our custom and third party platforms and environments. You'll collaborate across autonomy, perception, and simulation teams to create software that directly enhances how we build, test, and deliver our mission critical autonomy products. WHAT YOU'LL DO Design and develop full stack tools that simplify workflows, improve data visualization, and elevate user experience across autonomy development. Build reliable backend systems and efficient front end components that integrate with autonomy software, CI pipelines, and mission analysis tools. Automate analysis, testing, and deployment processes to improve developer efficiency and product quality. Own projects end to end, collaborating across teams and cross functional initiatives to define needs, prototype solutions, and deliver production ready results. PROJECTS YOU MIGHT WORK ON Develop dashboards that visualize mission outcomes, task progress, and behavior trees in real time. Create guided UIs that help engineers and customers configure sensors, tune parameters, and analyze performance. Build tools that automatically generate and visualize regression tests or metrics from CI pipelines. Enhance containerized developer workflows to simplify environment setup and local experimentation. REQUIRED QUALIFICATIONS You have a Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. You have 3 or more years of professional software development experience, including end to end delivery of production systems. You are proficient in C++ and Python and can contribute to production level codebases. You have experience with Git, CI/CD tools (e.g., GitLab CI or Azure DevOps), and containerization with Docker. You can independently design, implement, test, and deploy software solutions with minimal supervision. PREFERRED QUALIFICATIONS You have experience developing full stack applications or developer tooling. You have built visualization or UX tools for technical users or data intensive workflows. You have experience with ROS1 or ROS2. You have experience with robotics or autonomy concepts such as planning, mapping, perception, control, or behaviors. You have experience with Foxglove or similar data visualization platforms and are proficient in TypeScript. You are familiar with DevOps practices, automation frameworks, or infrastructure supporting large scale data systems. $131,921 - $197,881 a year 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.