- Hands-on robotics experience: experience developing, integrating, or deploying software on quadrupeds, humanoids, manipulators, autonomous vehicles, or other complex robotic platforms
- Robotics middleware: familiarity with communication technologies such as Zenoh, DDS, and MQTT, including their tradeoffs for distributed and resource-constrained systems
- Rust: experience building production systems software in Rust, particularly for networking, middleware, embedded, or performance-sensitive applications
- Real-time and embedded systems: experience with real-time Linux, embedded compute platforms, hardware interfaces, device drivers, or resource-constrained edge systems
- Simulation and hardware-in-the-loop: experience building workflows that span simulation, software-in-the-loop, hardware-in-the-loop, and validation on physical robots
- Fleet and mission systems: experience designing interfaces between robots and higher-level systems such as fleet managers, mission planners, dashboards, or autonomous agents
- Cloud-to-edge systems: experience designing systems that bridge on-robot software with cloud services while accounting for intermittent connectivity, bandwidth limitations, and degraded network conditions
- Observability and performance tooling: experience building or using tracing, profiling, telemetry, and benchmarking infrastructure to understand complex distributed robotic systems
- Open-source and standards: meaningful contributions to robotics, middleware, distributed-systems, or interface standards through open-source projects, specifications, or technical working groups
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.
