Robotics Software Engineer – Robot Integrations About the Job: Robotics Software Engineer – Robot Integrations 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 Software Engineer – Robot Integrations, you’ll lead the integration of new robotic platforms into our software stack and help make them reliable, controllable, and deployment-ready. You’ll develop and maintain robot drivers and interfaces spanning state, sensing, actuation, and control, while improving the performance and responsiveness of robots across a range of platforms. This role sits at the intersection of robotics software, controls, and systems integration. You’ll work closely with hardware and software platform teams to bring up new robots, improve existing integrations, and ensure our systems perform robustly in the lab and in the field. If you enjoy working directly with real robots, solving full-stack integration challenges, and turning complex hardware into dependable, high-performing systems, this is your role. This is Field AI. \n\n$70,000 - $300,000 a year What You’ll Get To Do 1. Lead Robot Integrations Bring up and integrate robotic platforms into Field AI’s software stack. Develop and maintain robot drivers and interfaces for sensing, state, command, and control. Build reusable integration patterns that support multiple robot types, including legged, wheeled-legged, wheeled, and humanoid systems. Work across vendor SDKs, middleware, and internal software abstractions to create robust platform support. 2. Build and Maintain Core Robot Software Interfaces Design and improve software components for robot state, calibration, timing, diagnostics, and control paths. Maintain reliable interfaces between onboard compute, sensors, actuators, and higher-level autonomy software. Debug issues across software, networking, hardware communication, and system configuration boundaries. Improve maintainability, observability, and robustness of robot integration infrastructure. 3. Continuously Improve Control Performance and Robot Behavior Profile end-to-end system performance from perception and state updates through command execution. Tune and refine control strategies to improve stability, responsiveness, and overall controllability. Analyze telemetry and on-robot behavior to identify bottlenecks and drive meaningful performance improvements. Help ensure each platform achieves strong motion quality and dependable real-world behavior. 4. Collaborate Across Hardware and Software Teams Partner closely with hardware teams during bring-up, validation, and troubleshooting of new robotic platforms. Work with software platform teams to improve tooling, deployment workflows, abstractions, and testing infrastructure. Support structured validation from bench testing to full robot trials. Contribute to best practices for integration, regression testing, and long-term platform support. What You Have Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or a Bachelor’s degree in one of these disciplines with relevant hands-on experience working with real robotic systems. Strong software engineering skills in C++ and/or Python in Linux-based environments. Hands-on experience working with real robotic systems through industry, research, or advanced project work. Experience integrating and debugging one or more robotic platforms, such as legged, wheeled-legged, wheeled, or humanoid robots. Familiarity with robotics middleware such as ROS/ROS 2 or similar distributed robotics software systems. Understanding of robot interfaces across sensing, state estimation, actuation, and control. Comfort debugging real-world system issues involving networking, timing, hardware communication, and software integration. Ability to work effectively across adjacent domains, including software, electronics, networking, and mechanical interfaces. The Extras That Set You Apart Experience writing or maintaining robot drivers, SDK integrations, or hardware abstraction layers. Experience with communication interfaces and protocols such as CAN, EtherCAT, serial, UDP/TCP, or similar. Familiarity with control system tuning and performance profiling on physical robots. Exposure to calibration, synchronization, diagnostics, and deployment tooling for robotic platforms. Experience supporting robot bring-up from early integration through production-quality reliability. Familiarity with simulation, hardware-in-the-loop testing, or regression testing pipelines. Prior work in cross-functional environments involving robotics software, hardware, and platform teams. \n 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