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Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 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 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • 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. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job 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. This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test 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 Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.What you'll do: • System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces., • Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness., • On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments., • Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements., • Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly., • Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles., • Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments., • Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)., • Hands-on experience supporting flight demos or live exercises., • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Direct experience supporting unmanned aerial systems or similar flight test campaigns., • Familiarity with autonomy stacks, flight control systems, or GNC pipelines., • Competence in sensor integration, electronics debugging, or avionics bring-up., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Comfortable interfacing with DoD stakeholders during field events or technical reviews. 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. This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test 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 Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.What you'll do: • System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces., • Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness., • On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments., • Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements., • Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly., • Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles., • Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments., • Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)., • Hands-on experience supporting flight demos or live exercises., • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Direct experience supporting unmanned aerial systems or similar flight test campaigns., • Familiarity with autonomy stacks, flight control systems, or GNC pipelines., • Competence in sensor integration, electronics debugging, or avionics bring-up., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Comfortable interfacing with DoD stakeholders during field events or technical reviews. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. We are seeking a skilled and motivated Autonomy Integration Engineer with 10+ years of experience to manage a technical team supporting the development, integration, and testing of autonomy algorithms for advanced aerospace, defense, and robotics systems. In this role, you will contribute to implementing and integrating innovative autonomy solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational requirements. This position offers an exciting opportunity to apply your technical expertise in autonomy and system integration while growing your skills in a fast-paced and collaborative environment. You will work on cutting-edge projects that advance the capabilities of autonomous systems and ensure their seamless integration into real-world platforms. What You'll Do: • Multidisciplinary Team Leadership: Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication., • Autonomy Development: Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements., • System Integration: Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces., • Validation and Testing: Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement., • Collaboration: Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals., • Optimization and Troubleshooting: Debug and optimize autonomy systems to enhance performance, reliability, and adaptability., • Documentation and Reporting: Contribute to technical documentation, test reports, and presentations for stakeholders and team members., • Innovation and Learning: Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts.Required Qualifications:, • Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred)., • 10+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems., • 2+ years managing technical teams., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)., • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Familiarity with open architecture standards (e.g., OMS/UCI or FACE) and regulatory standards (e.g., DO-178C) 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. This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test 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 Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.What you'll do: • System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces., • Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness., • On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints., • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments., • Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements., • Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly., • Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles., • Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments., • Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics., • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)., • Hands-on experience supporting flight demos or live exercises., • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Direct experience supporting unmanned aerial systems or similar flight test campaigns., • Familiarity with autonomy stacks, flight control systems, or GNC pipelines., • Competence in sensor integration, electronics debugging, or avionics bring-up., • Proficiency in developing automation tools for system testing, logging, and data parsing., • Comfortable interfacing with DoD stakeholders during field events or technical reviews. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 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. 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 Title: Sr. Embedded S/W Engineer: ETH PHY/MAC Layer Term: Long Term Contract/Potential Perm Location: San Diego County, CA (3 locations)/Los Angeles County, CA/Santa Clara, CA/Redmond, WA Start Date: ASAP Required: U.S. Citizen or Green Card Holder Must Have: • RTOS, • Extensive Embedded Linux background, • Extensive background in lower Networking Layers: ETH PHY/L1, • C/C++ (17/20/23), • Solid experience with Controller/Sensor, • Areas of experience in 1 or more of the following:, • SatCom/ Software Defined Radios/Modem Design/Automotive/Avionics/AI/EV Charging/Aerospace, • Nice to have, • MAC Layer/L2, • Yocto, • PetaLinux, • BareMetal, • C#/Golang Benefits • A2e Does NOT Accept Unsolicited Resumes or Referrals from any source other than the candidate, and, as a result, we will not be considering any unsolicited referrals or resumes sent to us as a fee -based candidate submittal., • Any unsolicited resumes sent to A2e, including unsolicited resumes sent to a A2e mailing address, fax machine or email address, directly to A2e employees, or to A2e’s resume database will be considered A2e property., • A2e will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication., • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D, • 2+ years of people leadership experience, • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. 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 DescriptionSaronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview: We are seeking a System Software Engineer to design, implement, and optimize software systems for our autonomous surface vessels. This role will involve working closely with cross-functional teams to develop robust software solutions that meet the unique challenges of maritime operations. Responsibilities: • Design, develop, and maintain software systems, using NixOS, for autonomous navigation, control, and communication of surface vessels, • Collaborate with hardware engineers to integrate software with vessel systems, ensuring seamless operation, • Implement algorithms for controls and sensor fusion, • Optimize network communications for low bandwidth/high latency environments, • Conduct software testing and validation to ensure reliability and performance in real-world maritime environments, • Participate in code reviews and maintain high coding standards, ensuring scalability and maintainability of software, • Troubleshoot and debug complex software issues, providing timely resolutions, • Document software designs, processes, and test results for compliance and knowledge sharing, • Stay updated on industry trends, emerging technologies, and best practices in autonomous systems Qualifications:, • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, • Senior Engineers: 3+ years of experience in software engineering, preferably in autonomous systems or robotics, • Strong understanding of algorithms, data structures, and software design patterns, • Experience with embedded Linux systems and embedded software development, • Experience with low-level serial protocols (e.g., RS-232, CAN) is a plus, • A strong understanding of networking principles and protocols (e.g., TCP/IP, UDP) is a plus, • Familiarity with sensors, control systems, and maritime operations is a plus, • Knowledge of DoD standards and regulations related to software development is advantageous, • Excellent problem-solving skills and ability to work in a fast-paced startup environment, • Strong communication skills and the ability to collaborate effectively with cross-functional teamsPhysical Demands:, • Prolonged periods of sitting at a desk and working on a computer., • Occasional standing and walking within the office., • Manual dexterity to operate a computer keyboard, mouse, and other office equipment., • Visual acuity to read screens, documents, and reports., • Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.

This role offers the opportunity to work on sensor, radome, and sensor measurement system technologies while contributing to innovative defense solutions. Experience with sensor measurements within near-field systems. Create and review documentation for sensor system testing, including analyses, sch

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