Robotics Software Engineer – Robot Integrations
Technologies
robot drivers · state estimation · sensing · actuation · control · systems integration · autonomy stack
About Field AI
Field Foundation Models — embodiment-agnostic robot brains for quadrupeds, humanoids, wheeled and tracked robots in construction, energy, mining, and logistics.
Series D
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 [... source excerpt omitted ...] oids, 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 a [... source excerpt omitted ...] etworking, 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 sub
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