Robotics Autonomy Engineer - Perception & Field Deployment

Field Ai; Irvine (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Field AI is building autonomous perception for robots operating in real-world conditions, focusing on robust perception pipelines and sensor fusion across LiDAR, cameras, RADAR, and inertial sensors. This role centers on deploying reliable perception software to real robots and continuously validating performance in field environments.

You will work across software and hardware to ensure perception systems are robust, scalable, and integrated into the full autonomy stack, collaborating with

Responsibilities

• Design, implement, and maintain perception systems for autonomous robots operating in real-world environments.
• Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions.
• Continuously evaluate and improve perception performance through testing, iteration, and field validation.
• Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors.
• Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve.
• Ensure perception software operates reliably across simulation and real-world deployments.
• Bring perception algorithms from development to deployment on physical robotic systems.
• Debug and resolve issues discovered during on-robot testing and field operations.
• Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack.
• Contribute to code quality, testing, and long-term maintainability of perception systems.
• Develop tools, metrics, and tests to monitor performance and catch regressions over time.
• Help scale perception solutions across multiple robots, environments, and missions.
• Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions.
• Communicate technical designs, tradeoffs, and results clearly to both technical audiences.

Job description

Field AI is building autonomous perception for robots operating in real-world conditions, focusing on robust perception pipelines and sensor fusion across LiDAR, cameras, RADAR, and inertial sensors. This role centers on deploying reliable perception software to real robots and continuously validating performance in field environments.

You will work across software and hardware to ensure perception systems are robust, scalable, and integrated into the full autonomy stack, collaborating with