19 jobs found

Job Description Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI , we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Robotics Autonomy Engineer - Perception to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI , we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Robotics Autonomy Engineer - Systems to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Manipulation, you'll lead the development and deployment of whole-body control and manipulation capabilities for humanoids and arm-equipped quadrupeds, turning real field scenarios into behaviors our robots perform reliably every day. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If building robots that can use their hands in the real world excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Develop whole-body control and manipulation capabilities for humanoids and quadrupeds with arms, coordinating base, torso, and arm motion as a single system Take specific field scenarios from concept to repeatable execution on hardware, interacting with the built environment and handling objects and tools Build learning based and model based manipulation policies and integrate them tightly with perception and locomotion Train manipulation policies from demonstration data and adapt vision language action (VLA) foundation models to our robots and tasks, then make them work on hardware Design grasp, contact, and force interaction strategies that hold up across varied objects, surfaces, and environments, with interaction forces kept safe for people and equipment nearby Harden behaviors so they succeed across repeated runs, changing lighting, object variation, and real site conditions Build simulation environments and evaluation pipelines for manipulation, and use field data to close the gap between simulation and the real world Deploy on physical robots and iterate rapidly through lab testing and field validation Work closely with locomotion, perception, and systems engineers to deliver end to end capabilities What You Have Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred) Deep expertise in robot manipulation or whole-body control 2+ years of experience developing and deploying manipulation behaviors on real robotic systems (preferred) Hands-on experience with robot arms, hands or grippers, and humanoid or mobile manipulation platforms Solid understanding of kinematics, dynamics, contact modeling, and force control Experience with manipulation planning and control, such as trajectory optimization or model predictive control (MPC) Experience with learning based manipulation, such as imitation learning, reinforcement learning (RL), or vision language action models Proficiency with simulation tools such as Isaac Lab, MuJoCo, or Drake Experience integrating perception for manipulation Strong Python and/or C++ development skills in Linux-based development environments Familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow) A passion for building things that move in the real world The Extras That Set You Apart 3+ years of experience in an industry or startup robotics setting Experience with loco-manipulation on legged platforms or whole-body model predictive control for humanoids Experience fine tuning or deploying vision language action models on real robots Experience building teleoperation and demonstration data collection pipelines at scale Experience with cross embodiment or generalist manipulation policies that transfer across robots and tasks Experience with dexterous multi fingered hands, or with tactile and force torque sensing in closed loop manipulation Experience optimizing and deploying learning based controllers on resource constrained robotic platforms (ONNX Runtime, NVIDIA TensorRT, real time onboard inference) Publications or open-source contributions in manipulation, whole-body control, or robot learning (e.g., CoRL, RSS, ICRA, IROS) Familiarity with ROS/ROS2 or custom middleware for real-time control Experience debugging sim-to-real issues at scale Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI , we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Robotics Autonomy Engineer - Perception to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Manipulation, you'll lead the development and deployment of whole-body control and manipulation capabilities for humanoids and arm-equipped quadrupeds, turning real field scenarios into behaviors our robots perform reliably every day. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If building robots that can use their hands in the real world excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Develop whole-body control and manipulation capabilities for humanoids and quadrupeds with arms, coordinating base, torso, and arm motion as a single system Take specific field scenarios from concept to repeatable execution on hardware, interacting with the built environment and handling objects and tools Build learning based and model based manipulation policies and integrate them tightly with perception and locomotion Train manipulation policies from demonstration data and adapt vision language action (VLA) foundation models to our robots and tasks, then make them work on hardware Design grasp, contact, and force interaction strategies that hold up across varied objects, surfaces, and environments, with interaction forces kept safe for people and equipment nearby Harden behaviors so they succeed across repeated runs, changing lighting, object variation, and real site conditions Build simulation environments and evaluation pipelines for manipulation, and use field data to close the gap between simulation and the real world Deploy on physical robots and iterate rapidly through lab testing and field validation Work closely with locomotion, perception, and systems engineers to deliver end to end capabilities What You Have Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred) Deep expertise in robot manipulation or whole-body control 2+ years of experience developing and deploying manipulation behaviors on real robotic systems (preferred) Hands-on experience with robot arms, hands or grippers, and humanoid or mobile manipulation platforms Solid understanding of kinematics, dynamics, contact modeling, and force control Experience with manipulation planning and control, such as trajectory optimization or model predictive control (MPC) Experience with learning based manipulation, such as imitation learning, reinforcement learning (RL), or vision language action models Proficiency with simulation tools such as Isaac Lab, MuJoCo, or Drake Experience integrating perception for manipulation Strong Python and/or C++ development skills in Linux-based development environments Familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow) A passion for building things that move in the real world The Extras That Set You Apart 3+ years of experience in an industry or startup robotics setting Experience with loco-manipulation on legged platforms or whole-body model predictive control for humanoids Experience fine tuning or deploying vision language action models on real robots Experience building teleoperation and demonstration data collection pipelines at scale Experience with cross embodiment or generalist manipulation policies that transfer across robots and tasks Experience with dexterous multi fingered hands, or with tactile and force torque sensing in closed loop manipulation Experience optimizing and deploying learning based controllers on resource constrained robotic platforms (ONNX Runtime, NVIDIA TensorRT, real time onboard inference) Publications or open-source contributions in manipulation, whole-body control, or robot learning (e.g., CoRL, RSS, ICRA, IROS) Familiarity with ROS/ROS2 or custom middleware for real-time control Experience debugging sim-to-real issues at scale Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI , we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Robotics Autonomy Engineer - Systems to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost. Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built. Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we're building the future of American manufacturing-and looking for exceptional people to help make it happen. If you're ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you're exactly who we're looking for. The Role Hadrian's Robotics team builds hardware and software that powers next-generation manufacturing. We are looking for a Robot Manipulation R&D Engineer to lead the design, development, and deployment of intelligent automation systems for manufacturing environments. Our mission is to scale Hadrian's core machining business across multiple factories in the U.S. by building robotic systems that operators, technicians, and systems depend on every day. We move quickly, ship continuously, and turn real factory needs into production-ready products. This role is ideal for engineers passionate about pushing the boundaries of robotic dexterity, perception, and autonomy in real-world industrial applications. What You'll Do Develop novel algorithms and system architectures for robotic manipulation, grasping, and assembly in unstructured manufacturing environments. Design and implement end-to-end manipulation pipelines integrating perception (e.g., 3D vision), planning, and control. Collaborate with mechanical engineers to prototype and iterate on custom end-effectors, sensor mounts, and robotic tooling. Collaborate with stakeholders to collect, document, and translate operational needs into detailed technical requirements and interface specifications. Support team growth by contributing to hiring, mentoring junior engineers, and establishing technical best practices and workflows. What We're Looking For M.S. or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field with 3+ years of hands-on experience in robotic manipulation, control systems, or autonomous systems development. Strong proficiency in C++ or Python. Proven experience with motion planning, kinematics, and control of robotic arms Deep understanding of robot dynamics, force control, and grasp planning. Experience with simulation environment and hardware deployment. Experience leading cross-disciplinary teams and full product lifecycle ownership. Excellent communication and documentation abilities. Passionate about advancing manufacturing automation through robotics innovation. Compensation For this role, the target salary range is $160,000 - $260,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Use of AI in hiring Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy. Hadrian Is An Equal Opportunity Employer It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Triage, you'll be the fastest link between what our robots experience in the field and how our autonomy stack improves, reproducing behaviors, finding root causes, and driving rapid fixes and tests that make every deployment smoother than the last. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If solving hard puzzles on real robots and seeing your fixes land in the field within days excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI What You'll Get To Do Triage incoming reports from field deployments and customer sites, assess impact, and decide what gets fixed now, what gets routed, and what gets tracked. Reproduce field behaviors from logs, telemetry, and recordings, both in simulation and on hardware. Root cause behaviors that span perception, localization, planning, control, and integration boundaries, and ship targeted fixes quickly. Turn every fix into a regression test, scenario, or hardware-in-the-loop (HIL) check so the improvement holds. Build triage tooling for log analysis, event detection, and trend tracking across robots and sites. Run structured test campaigns before releases and help decide when a build is ready for the field. Share clear findings and summaries with owning teams, and champion design improvements when patterns emerge. Travel occasionally to deployment sites to see robots operate firsthand and support field teams What You Have Bachelor's or Master's degree in Robotics, Computer Science, Engineering, or a related field. 2+ years of experience working on real autonomous systems in industry or research. Strong debugging skills across the full autonomy stack, from sensors and drivers to planning and control. Solid programming skills in C++ and Python in Linux-based environments. Familiarity with robotics middleware such as ROS/ROS 2. Experience analyzing logs, telemetry, and recorded robot data to understand system behavior. Comfort working quickly with incomplete information, and communicating clearly with engineers and field teams. The Extras That Set You Apart Experience with release testing, validation, or quality engineering for autonomous systems. Experience building simulation based regression pipelines or hardware-in-the-loop test setups. Experience with data pipelines and event detection over large volumes of robot data. Experience with incident management or defect tracking in a fast moving engineering team. Time spent in the field with deployed robots or autonomous vehicles. Familiarity with continuous integration and automated test infrastructure. Experience with legged, wheeled, or humanoid platforms. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs. Sensor Systems Role: As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors-LiDARs, depth cameras, IMUs, GPS, and more-ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. What You Will Get To Do 1. Sensor System Design Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices. Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility. Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy. Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization. 2. Sensor System Implementation Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature). Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed. Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states. 3. Sensor System Production & Servicing Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale. Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries. Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments. What You Have Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS. Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams. Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation. Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups) Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI. Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.). Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints. Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions. Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R 120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation The salary range for this role is $100,000-$240,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. . click apply for full job details

Job Description Job Description Robotics AI Engineer - Sensor Calibration About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at . About the Job Field AI is seeking a Robotics AI Engineer to help advance the sensor calibration systems that power our autonomous robots. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work alongside a highly focused group of engineers developing production-grade calibration pipelines for complex multi-sensor robotic platforms. Your work will span camera, LiDAR, IMU, and other sensor modalities, contributing to intrinsic, extrinsic, and temporal calibration workflows that enable reliable perception in real-world environments. Depending on your experience and interests, you'll improve automated calibration tooling, optimize large-scale sensor data processing, and develop robust calibration algorithms that support our downstream localization, mapping, and autonomy systems. The ideal candidate combines a strong foundation in robotics, computer vision, and 3D geometry with the practical engineering skills needed to build scalable, maintainable software in a fast-paced, collaborative environment. What You Get To Do Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings. Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance. Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base. Explore and integrate emerging technologies and tools to enhance sensor calibration workflows. Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables. What You Have Master's degree in Computer Science, Engineering, or a related field. 2+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration. Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code. Solid background knowledge of 3D geometry and computer vision. Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-Camera calibration, multi-sensor extrinsic calibration). Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc. Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu. Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o. Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities. Strong work ethic, highly self-motivated, and excellent written and verbal communication skills. The Extras That Set You Apart Ph.D. in Computer Science, Engineering, or a related field. Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision. Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices). Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Robotics AI Engineer - Calibration, Localization, and Mapping About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at . About the Job Field AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment. What You'll Get To Do Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems Write clean, efficient, and maintainable code in C++ and Python Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systems What You Have Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms Experience with sensor calibration (intrinsics and extrinsics) and time synchronization Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities Strong work ethic, highly self-motivated, and excellent written and verbal communication skills The Extras That Set You Apart Publications and/or patents in calibration, state estimation, odometry, and/or SLAM Experience working with noisy sensor measurements and designing outlier-resilient algorithms Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.) Experience with modern version control and project management tools Field AI Onsite Work Philosophy: Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Irvine, CA office, with flexible hours to support work-life balance. We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply. Compensation and Benefits Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Safety, you'll own and advance the independent safety layer that keeps our robots safe around people, equipment, and terrain no matter what the rest of the autonomy stack decides. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If building the guarantees that let robots earn trust in the real world excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Own and evolve the safety layer that runs independently of perception, planning, and learned policies, and extend it to new wheeled, legged, and humanoid platforms Build runtime monitors and collision avoidance backstops that check every commanded motion against the environment before it reaches the robot Enforce speed, zone, terrain, and proximity limits, and define the safe operating envelope for each platform and deployment Design fallback and minimal risk behaviors, from graceful slow down to safe stop, and the logic that decides when to trigger them Build watchdogs and health monitoring across sensors, compute, communication, and actuation, so the robot always knows when it can trust itself Lead hazard analysis and safety case development for new platforms and new deployments Verify the safety layer in simulation, hardware-in-the-loop (HIL) testing, and field trials, with coverage that grows with every deployment Work with planning, control, locomotion, and integration teams so the nominal stack plans and moves within the safety envelope What You Have Master's degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field, or a Bachelor's degree with substantial hands-on experience on safety related autonomous systems 2+ years of experience developing safety, monitoring, or fallback systems for robots or autonomous vehicles Strong grounding in classical planning and control, such as collision checking and trajectory validation Experience writing deterministic, real time, resource bounded C++ for systems where correctness matters more than features Solid Python skills for tooling, analysis, and test automation in Linux-based environments A verification mindset: you think in terms of assumptions, failure modes, coverage, and evidence Familiarity with safety standards for mobile robots and autonomous systems (e.g., ISO 13482, ISO 3691-4, ISO 26262) Familiarity with robotics middleware such as ROS/ROS 2, and with robot sensors such as LiDAR, depth cameras, and IMUs The Extras That Set You Apart Functional safety experience in autonomous vehicles, industrial robots, or aerospace Experience with runtime assurance architectures that wrap a learned or complex controller Experience with formal or set based safety methods applied to real robots Experience defining operational design domains and monitoring when a system is outside them Experience with redundant sensing, safety rated hardware, or safety rated communication Experience taking a robotic product through safety assessment or certification Experience with legged or humanoid platforms, where balance and contact make safety envelopes harder to define Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Planning and Control, you'll design, implement, and deploy path planning, trajectory planning, obstacle avoidance, and motion control algorithms that enable our robots to move with precision, robustness, and efficiency across wheeled, legged, and humanoid platforms. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Design, develop, and refine path planning and navigation algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and off-road or unstructured environments. Develop optimization based trajectory planning that ensures smooth, reliable, and efficient navigation across wheeled, legged, and humanoid platforms. Build real time obstacle avoidance and reactive planning layers that keep robots safe among people, machines, and changing terrain. Develop and tune control algorithms for precise trajectory tracking and stable operation across different robotic systems. Plan and track within the constraints set by our independent safety layer, and work with the safety team to keep nominal behavior well inside the safe envelope. Develop learning based planning and navigation, from learned navigation policies to foundation model driven mobility. Collaborate across autonomy layers for seamless coordination between perception, planning, and control. Build and maintain testing pipelines from unit-level validation to full robot deployment, using simulation for evaluation, benchmarking, and regression validation. Analyze real-world telemetry to diagnose field issues and deliver targeted improvements while maintaining general-case reliability. What You Have Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus) Strong understanding of motion planning, trajectory generation, and control systems. Experience in classical planning and control, such as path planning, trajectory optimization, and model predictive control (MPC) Experience implementing learning based navigation, such as learned navigation policies or vision language action models (VLA) for mobility Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid) Solid programming skills in C++ and Python on Linux-based systems Familiarity with robotics middleware such as ROS/ROS 2 Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, and wheel encoders The Extras That Set You Apart Exposure to real-world deployment of autonomous systems Background in optimization, control, or numerical methods for trajectory planning Experience with hybrid architectures that combine classical planners with learned components Experience deploying vision language models (VLM) or vision language action models for navigation on real robots Experience deploying planning or navigation stacks with real time onboard inference (ONNX Runtime, NVIDIA TensorRT) Contributions to open-source planning or control frameworks Familiarity with safety-critical autonomy and industrial robotics use cases Compensation and Benefits The salary range for this role is $70,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information . click apply for full job details

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI's most ambitious initiatives. Your work will span computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search , with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval-augmented generation).This is a full-cycle ML role : you'll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It's a blend of applied research and engineering , requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you'll also contribute to broader perception and insight-generation initiatives across Field AI. What You'll Get To Do: Train and fine-tune million- to billion-parameter multimodal models , with a focus on computer vision , video understanding , and vision-language integration . Track state-of-the-art research , adapt novel algorithms, and integrate them into FiFM. Curate datasets and develop tools to improve model interpretability . Build scalable evaluation pipelines for vision and multimodal models . Contribute to model observability , drift detection , and error classification . Fine-tune and optimize open-source VLMs and multimodal embedding models for efficiency and robustness. Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs . Create embedding-based memory and retrieval chains with token-efficient chunking strategies. What You Have: Master's/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience. 2+ years of industry experience or relevant publications in CV/ML/AI. Strong expertise in computer vision, video understanding, temporal modeling, and VLMs . Proficiency in Python and PyTorch with production-level coding skills. Experience building pipelines for large-scale video/image datasets . Familiarity with AWS or other cloud platforms for ML training and deployment. Understanding of MLOps best practices (CI/CD, experiment tracking). Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA. Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization . Ability to design scalable evaluation pipelines for vision/VLMs and agent performance. The Extras That Set You Apart: Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone). Familiarity with agent operations logging and evaluation frameworks . Background in optimization : token cost reduction, chunking strategies, reranking, and retrieval latency tuning. Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference . Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG . Knowledge of temporal-spatial modeling (event/scene graphs). Experience deploying AI in edge or resource-constrained environments . Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Locomotion, you'll lead the development and deployment of state-of-the-art controllers for legged and humanoid robots. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If designing locomotion systems that can navigate complex, dynamic environments excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Architect and implement scalable reinforcement learning (RL) pipelines for locomotion and whole-body control on legged and humanoid robots Design policy architectures, training curricula, and domain randomization strategies that close the sim-to-real gap Integrate GPU-accelerated, physics-based simulation environments with custom, distributed training workflows Train locomotion policies from human motion data using imitation learning and motion retargeting, and distill them into compact policies that run on the robot Create agile, robust, and terrain-aware (perceptive) locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware Solve real-world challenges in balance and push recovery, contact-rich dynamics, high degree of freedom (DOF) whole-body coordination, and terrain variability Automate evaluation across domain-randomized scenarios and maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility Work closely with systems engineers, perception experts, and embedded teams, incorporating real-world telemetry and field data to continuously improve generalization Lead deployment workflows from experiment through lab testing to field robot validation What You Have Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred) Deep expertise in reinforcement learning for continuous control 2+ years of experience developing and deploying locomotion policies on real robotic systems (preferred) Hands-on experience with legged robot platforms (quadrupeds, bipedal/humanoid systems, or exoskeletons) Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet Strong command of sim-to-real transfer and a track record of bridging the gap successfully Solid understanding of contact dynamics, control theory, and kinematics Strong Python and/or C++ development skills in Linux-based development environments Familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow) A passion for building things that move in the real world The Extras That Set You Apart 3+ years of experience in an industry or startup robotics setting Experience optimizing and deploying learning based controllers on resource constrained robotic platforms (ONNX Runtime, NVIDIA TensorRT, real time onboard inference) Publications or open-source contributions in locomotion, reinforcement learning, or control (e.g., CoRL, RSS, ICRA, IROS) Familiarity with ROS/ROS2 or custom middleware for real-time control Background in manipulation, loco-manipulation, or whole-body coordination Experience combining learned policies with model predictive control (MPC) or whole-body controllers Experience with motion imitation pipelines from motion capture or teleoperation data Experience debugging sim-to-real issues at scale Contributions to reinforcement learning libraries or simulation platforms Prior work on multi-agent learning or terrain-adaptive control systems Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Robotics Integration Role As a Robotics Integration Engineer on the Hardware Team at Field AI, you will bring new robot platforms into our fleet and ensure that they operate at high standards in real world environments. This will involve integrating our control systems, autonomy stack, and payloads onto new robotic platforms. Your work will span across areas including platform abstraction, robot control, autonomy, sim-to-real validation, and electro-mechanical integration. Responsibilities may include the full lifecycle from initial platform bring-up through safety qualification and field deployment. You will collaborate closely with the Autonomy/RL, Manipulation, Mechanical, and Electrical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on platform integration, you may contribute across hardware, field operations, and autonomy domains. What You Will Get To Do 1. Platform Integration & Controls Platform Abstraction: Build software abstraction layers between each robot's native control stack (such as ROS/ROS2) and our own systems, enabling payloads to move across platforms. Robot Controls & Navigation: Ensure navigation and controls stacks running correctly on physical hardware across quadruped, humanoid, and wheeled platforms. Electro-Mechanical Integration: Work with mechanical and electrical engineers on designing and integrating mechanical (saddles) and electrical (power distributions boards) interfaces . Sim-to-Real: Validate and adapt RL-based autonomy policies from simulation (Isaac, Gazebo, MuJoCo) to real-world performance on terrain, stairs, and uneven ground. 2. Cross-Team Collaboration & Fleet Scaling Cross-Functional Integration: Coordinate across Autonomy/RL, Manipulation, Mechanical, and Electrical teams to bring new platforms online. Testing & Validation: Use SIL/HIL testing to ensure integrated systems are safe, reliable, and ready for field operation. Test features such as safety features and operations under different Operational Design Domains (ODDs). New Robots: Identify, procure, test, and integrate diverse new robotic systems. Multi-Platform Support: Support multiple robot morphologies including legged, quadruped, biped/humanoid, and wheeled UGVs. 3. Safety & Infrastructure Safety Systems: Implement e-stop and redundancy/fault-tolerant safety layers, contributing to functional safety (ISO 26262, ASIL) as practices mature. Charging & Docking Infrastructure: Support charging station and docking infrastructure for charging, data offload, and communications. Field Deployment Logistics: Handle the hands-on logistics of standing up new robot platforms for field deployment across construction, mining, and oil & gas environments. What You Have Education: B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field. Experience Level: We are looking to fill this role with someone with 3-9 years of experience. Software: Hands-on experience with middleware (ROS/ROS2) and computing languages (python, C++). Robotics Software Generalist: Strong generalist robotics software background spanning controls, navigation, and systems integration across legged and wheeled platforms. Sim-to-Real Experience: Comfort working across the sim-to-real gap, validating RL or autonomy policies from simulation (Isaac, Gazebo, MuJoCo) on physical hardware. Cross Functional Hardware Knowledge: Working familiarity with motors, actuation, BLDC motor controllers, and power distribution or electrical systems. Communication Protocols: Familiarity with CAN bus, EtherCAT, or similar real-time robotics communication protocols. Systems Thinking: Ability to work across mechanical, electrical, controls, and autonomy domains to make integrated systems function reliably on real hardware. What Will Set You Apart Multi-Platform Experience: Experience integrating software across multiple robot platforms, including legged/quadruped, humanoid, and wheeled UGVs (e.g., Unitree, Boston Dynamics, Clearpath). Field Environments: Experience deploying robots in harsh, diverse industrial field environments such as construction, mining, and oil & gas. Functional Safety: Background in functional safety standards (ISO 26262, ASIL, SOTIF/ISO 21448) and safety-critical systems testing and validation. Advanced Controls: Experience with whole-body control, impedance/admittance control, MPC, or trajectory optimization for legged or manipulator systems. Fleet & Infrastructure: Experience with multi-robot fleet operations, auto-docking/charging infrastructure, or teleoperation systems Compensation The salary range for this role is $100,000-$175,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Kickmaker is a high-tech product design and industrialization agency. We support our customers from prototype to production run in our main vertical markets (medical, new mobility, electrification, agrotech, robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech manufacturing automation, eco-design, industrial design and WEB 3.0 for the economy of functionality). We're evolving with a real maker culture! Passion, excitement and kindness are the pillars of KICKMAKER. This team and community spirit has enabled us to shape a unique corporate culture. Our approach: to enable everyone to fulfill their potential by working on exciting projects, and to encourage autonomy and initiative. Present in France, China and the United States, our community counts over 250 passionate kickers and keeps growing. It is in this context that we are looking to strengthen our team in Boston, Seattle and San Fransisco. We're growing our US robotic engineering team : The role involves designing, developping, and implementing robotic systems and algorithms, contributing to the full lifecycle of our products-from concept to deployment What you'll do Design, build, and test robotic systems and components Develop and optimize control algorithms, perception systems, and navigation strategies Integrate hardware and software components for autonomous or semi-autonomous systems Collaborate with cross-functional teams including mechanical, electrical, and software engineers Conduct simulations and real-world testing to validate system performance Troubleshoot and resolve technical issues in development and production environments Stay current with emerging technologies and industry trends in robotics and AI What you bring Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electronic Engineering, Computer Science, or a related field 5+ years of experience in robotics or automation (industry is preferred) Strong programming skills in Python and/or C++ Experience with ROS/ROS2 Knowledge of control systems, computer vision, and sensor integration Familiarity with simulation tools such as MATLAB Strong problem-solving skills and attention to detail Base Salary: $115 000 to $150 000/ year Experience Required: 5 years in a relevant field Your adventure at Kickmaker At Kickmaker you'll work on 5-10 projects annually , choosing from a wide range of industries : from robotics, medical devices, fitness tech, and automotive, to micro-mobility, beauty tech, sports exoskeletons, and AI-driven hardware. Your path evolves with your curiosity: we help you grow where your professional ambitions and personal passions meet, always connected to the latest tech breakthroughs. We offer a benefits package designed to support you and your family while keeping costs low. This includes health and dental coverage, paid time off and 5 sick days for rest and renewal. You can also join our 401(k) plan to invest in your future. Our Culture & Spirit Kickmaker is built by innovators, for innovators. Across our 7 offices we give you the tools to make your ideas happen. Our vision is simple: build a space where innovators can explore, experiment, and push boundaries together . If you're curious about our spirit and way of working (and you've got a minute) check out this short video where Leonardo da Vinci "visits" Kickmaker. An image is worth a thousand words, and this one will give you the full vibe If you've ever looked at a product and thought, "I could build this better," let's talk! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot's capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them. Key Responsibilities Own the design, implementation, and validation of complex humanoid robot behaviors. Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling. Build new autonomy capabilities that expand what the robot can reliably do in the real world. Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments. Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems. Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows. Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack. Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation. Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance. Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors. About You B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field. 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities. Demonstrated experience as a tech lead or senior technical owner for complex robotics projects. Proficient in Python and C++, and comfortable contributing to large, long-lived codebases. Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks. Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots. Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability. Experience collaborating closely with perception, planning, controls, hardware, product, or field teams. Strong ownership mindset with a focus on robustness, generalization, and real-world reliability. Bonus Qualifications Experience developing manipulation strategies for complex or unstructured environments. Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies. Experience deploying and supporting autonomous robots in real customer environments. This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $190,000-$296,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

Job Description Job Description Job Description The AI Expert - Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands-on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission-critical applications. Responsibilities Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system integration Train, evaluate, and deploy ML models in real-world robotic environments Support simulation, testing, validation, and field deployment of AI-enabled robotic systems Analyze system performance and continuously improve autonomy, accuracy, and reliability Document system architectures, models, and technical designs Stay current with emerging AI, ML, and robotics technologies and best practices Required Qualifications Bachelor's degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field 5+ years of experience in AI/ML and robotics development Strong programming experience in Python and/or C++ Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience working with robotic systems, sensors, and actuators Solid understanding of robotics fundamentals including kinematics, controls, and perception Experience deploying AI models to production or real-world environments Preferred Qualifications Master's degree or PhD in AI, Robotics, or a related discipline Experience with ROS / ROS2 and robotic middleware Background in autonomous systems, mobile robots, or robotic arms Experience with computer vision, deep learning, or reinforcement learning Familiarity with simulation environments (e.g., Gazebo, Isaac Sim) Experience supporting government, defense, or regulated programs Ability to obtain and maintain a security clearance if required by contract