Robotics Autonomy Engineer-Planning and Control

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 JobField 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 advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environmentsYou’ll work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architecturesIf 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 AIWhat You'll Get To Do1. Develop Robust Motion Planning AlgorithmsDesign, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environmentsDesign optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalitiesEnsure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts 2. Advance Control and Planning IntegrationDevelop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance 3. Validate and Test Across the StackBuild and maintain testing pipelines from unit-level validation to full robot deploymentUtilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validationAnalyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness 4. Diagnose and Improve Field PerformanceInvestigate and resolve issues arising from field deployments through structured data analysis and debuggingDeliver targeted improvements that address specific challenges while maintaining general-case reliability and performanceWhat You HaveMaster’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 systemsExperience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid)Solid programming skills in C++ and Python on Linux-based systemsFamiliarity with robotics middleware such as ROS/ROS 2Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encodersThe Extras That Set You ApartExposure to real-world deployment of autonomous systemsBackground in optimization, control, or numerical methods for trajectory planningFamiliarity with learning-based or hybrid planning approachesContributions to open-source planning or control frameworksFamiliarity with safety-critical autonomy and industrial robotics use casesCompensation 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 RevolutionTo 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.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.