Field AI
Robotics Autonomy Engineer, Systems
$100K–$200K
Irvine, CA +1 · On-site · Full-time · Posted Mar 11, 2025
- Location
- Irvine, CA
Peoria, Illinois - Experience
- PhD; or MS in a related field with 2+ years of industry or applied research experience; or BS in a related field with 4+ years of relevant experience.
- Education
- PhD in Robotics, Computer Science, Electrical Engineering, or a related field; or MS or BS in a related field.
About the job
Own and develop perception systems for field robots, integrating sensors and deploying robust localization and mapping capabilities on real-world platforms.
What you'll do
- Design, test, and improve perception, localization, and mapping systems for unstructured field conditions.
- Fuse sensor data and integrate perception software across simulation and physical robots, debugging issues found during testing and field operations.
- Improve system robustness through testing, performance metrics, maintainable code, and collaboration across teams.
What they ask for
- Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems.
- Hands-on experience developing and deploying perception software in field robotics environments, not just simulation.
- Proficiency in C++, Python, and ROS/ROS2 based systems; experience with state estimation such as VIO, LIO, mapping, or sensor fusion.
- Ability to own complex subsystems through deployment and maintenance, and to work close to hardware on sensor debugging and calibration.
Nice to have
- Experience with thermal, LWIR, or multispectral sensing, or custom sensor rigs.
- Familiarity with CI/CD, performance regression testing, Docker, Kubernetes, or multi-platform perception stacks.
Pay
USD 100,000–200,000 (per-year-salary), base pay
Tools
C++, Python, ROS/ROS2, LiDAR, RADAR, VIO, LIO, Docker
AI focus
Develop and deploy perception capabilities for embodied autonomy, including sensor fusion, localization, and mapping on field robots.
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