Robotics Autonomy Engineer – Perception (Onsite Irvine)

FieldAI; Peoria (IL); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Full benefits

Equity

Generous paid time off

Onsite role in Irvine, CA

Job summary

Field AI is building autonomy for robots that operate in the real world, in harsh environments where sensing breaks down. We’re looking for a Robotics Autonomy Engineer – Perception to own and advance perception capabilities for our federal autonomy programs.

You’ll lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations.

Qualifications

• PhD or MS with 2+ years industry/applied research, or BS with 4+ years related experience.
• Strong background in robot perception, localization, and mapping (SLAM).
• Hands-on experience deploying perception software on field robotics.
• Proficiency in C++, Python and ROS/ROS2.

Responsibilities

• Build, maintain and improve perception systems for real robots.
• Develop sensor fusion across LiDAR, cameras, RADAR and inertial data.
• Deploy perception software from development to on‑robot deployment.
• Collaborate with autonomy, controls, and platform teams for integration.
• Improve robustness, testing, and scalability across multiple robots.

Skills

Robot perception

SLAM localization

Sensor fusion

Field robotics

Hardware debugging

Team collaboration

C++

Python

ROS/ROS2

Education

PhD in Robotics/CS/EE or MS with 2+ years industry experience

BS in related field with 4+ years experience

Tools

ROS/ROS2

C++

Python

Job description

Field AI is building autonomy for robots that operate in the real world, in harsh environments where sensing breaks down. We’re looking for a Robotics Autonomy Engineer – Perception to own and advance perception capabilities for our federal autonomy programs.

You’ll lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations.