Robotics Autonomy Engineer: Perception & Field Systems

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

Benefits offered by this job

Onsite in Irvine, CA

Full benefits and equity

Job summary

Field AI is building autonomy for robots that operate in the real world, in harsh environments where traditional sensing fails. We are seeking a Robotics Autonomy Engineer - Systems to own perception capabilities for our federal autonomy programs, leading the perception stack from design to field deployment.

You will integrate LiDAR, RADAR and multispectral sensing, fuse data across sensors, and ensure perception software works in simulation and on real robots.

Qualifications

• PhD/MS/BS in a robotics-related field with relevant experience.
• Strong background in robot perception, localization, and mapping (SLAM).
• Hands-on experience deploying perception software in field robotics environments.

Responsibilities

• Build and maintain perception systems for autonomous robots in real-world environments.
• Develop sensor fusion for LiDAR, cameras, RADAR, and inertial sensors.
• Deploy perception software to physical robots and validate in field tests.
• Collaborate with autonomy, controls, and platform teams for full-stack integration.
• Improve robustness and scalability of perception across multiple robots and missions.

Skills

C++

Python

ROS/ROS2

Perception

Localization/SLAM

Field robotics

Problem-solving

Independent work

Education

PhD in Robotics

MS in related field + 2+ years

BS in related field + 4+ years

Tools

Docker

Kubernetes

Job description

Field AI is building autonomy for robots that operate in the real world, in harsh environments where traditional sensing fails. We are seeking a Robotics Autonomy Engineer - Systems to own perception capabilities for our federal autonomy programs, leading the perception stack from design to field deployment.

You will integrate LiDAR, RADAR and multispectral sensing, fuse data across sensors, and ensure perception software works in simulation and on real robots.