One Autonomy for All Robots. Field-proven embodied AI software that is finally unlocking the full potential of mobile robots in the real world. Backed by Khosla.
About the role
We're looking for a Perception Engineer to help build the 3D scene and traversability representations our robots rely on to navigate real-world environments. You'll design learning-based approaches to spatial understanding from point cloud–based representations to learned traversability mapping and take them from research prototype to production on physical robots.
What they're looking for
- Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical field
- 3+ years of experience in verification, validation, systems test, or perception evaluation for robotics, autonomous systems, automotive, or similar domains
- Experience working with robotic sensors such as LiDAR, cameras, GPS, and IMUs
- Strong understanding of perception system behavior, sensor limitations, and common failure modes
- Experience developing test plans, validation procedures, performance metrics, and structured test reports
- Experience analyzing logs, datasets, and field results to debug issues and perform root-cause analysis
More about this role
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.
We're looking for a Perception Engineer to help build the 3D scene and traversability representations our robots rely on to navigate real-world environments. You'll design learning-based approaches to spatial understanding from point cloud–based representations to learned traversability mapping and take them from research prototype to production on physical robots. This role sits at the intersection of perception, mapping, and autonomy, working closely with cross-functional teams to make sure our...
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