Robotics Software Engineer – Robot Integrations

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 Software Engineer - Robot Integrations, you’ll bring new robotic platforms into our software stack and take them from first power-on to field-ready, building everything from drivers and API integrations to the low level behaviors that make a robot truly autonomous. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If working hands on with quadrupeds, humanoids, and wheeled robots across a wide variety of problems 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

• Bring up and integrate new robotic platforms into Field AI’s software stack, including legged, wheeled-legged, wheeled, and humanoid systems
• Be the first to get a new robot moving under Field AI autonomy, from initial bring-up to its first autonomous mission in the field
• Develop and maintain robot drivers and interfaces for sensing, state, command, and control, working across vendor APIs and SDKs, middleware, and internal abstractions
• Implement low level behaviors that platforms are missing out of the box, such as docking and charging, stand up and recovery, mode switching, and safe stop handling
• Implement hardware safety interfaces on each platform, such as emergency stop and safe stop paths, so the safety layer can act on any robot
• Write the onboard software that runs on the robot’s compute, from real time command loops and state publishing to health monitoring and diagnostics
• Implement and adapt planning, locomotion, and control algorithms on new platforms, such as porting a locomotion controller to a new legged robot or fitting our navigation stack to a new platform
• Tune control and command paths on each platform to improve stability, responsiveness, and motion quality
• Debug issues that cross software, networking, timing, hardware communication, and system configuration boundaries
• Support new projects and robots as they come in, adapting quickly to unfamiliar hardware, APIs, and requirements
• Build reusable integration patterns, diagnostics, and tooling that make adding the next robot faster and more reliable
• Partner with hardware and software platform teams through bring-up, validation, bench testing, and full robot trials in the lab and in the field

What You Have

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Hands-on experience working with real robotic systems through industry, research, or substantial project work
• Solid software engineering skills in C++ and Python in Linux-based environments
• Familiarity with robotics middleware such as ROS/ROS 2
• 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
• Willingness to work across adjacent domains, including software, electronics, networking, and mechanical interfaces

The Extras That Set You Apart

• Experience integrating quadruped, humanoid, or wheeled platforms using vendor SDKs (for example Boston Dynamics Spot, Unitree, ANYbotics, or similar)
• Experience writing or maintaining robot drivers, SDK wrappers, or hardware abstraction layers
• Experience with communication interfaces and protocols such as CAN, EtherCAT, serial, and UDP/TCP.
• Experience implementing robot behaviors such as docking, charging, recovery, or payload control
• Familiarity with control tuning and performance profiling on physical robots
• Exposure to calibration, time synchronization, diagnostics, and deployment tooling for robotic platforms
• Familiarity with simulation, hardware-in-the-loop (HIL) testing, or regression testing pipeline