Drimva

Field AI

Sensor Systems Engineer, Autonomous Vehicles (Federal)

$100K–$240K

Irvine, CA · On-site · Full-time · Posted May 11, 2026

Experience
Recruiting across experience levels, from entry level to senior and staff; no specific number of years stated.
Education
B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field.
Visa sponsorship
U.S. Person eligibility required: U.S. Citizen, U.S. National, lawful permanent resident (green card holder), refugee, or asylee.

About the job

Designs, integrates, calibrates, validates, and supports production of sensing and compute systems for autonomous wheeled robots used in federal and commercial programs.

What you'll do

  • Define sensing requirements; select and integrate sensors with electrical, mechanical, and software systems.
  • Characterize, synchronize, calibrate, and optimize sensors under real-world conditions; document configurations and performance.
  • Support sensor procurement, quality checks, manufacturing, troubleshooting, and health monitoring during field deployments.

What they ask for

  • Hands-on experience with perception sensors such as LiDAR, depth cameras, IMUs, or GPS.
  • Cross-functional collaboration across electrical, mechanical, and software teams.
  • Strong foundation in optics, signal processing, and electromagnetic wave propagation; hands-on testing, calibration, and debugging skills.
  • Experience with sensor communication protocols, ROS/ROS2, coordinate transforms, timing and synchronization, and sensor calibration and characterization.

Nice to have

  • Experience scaling systems from prototype to production or developing for harsh field environments.
  • Experience with deployed robotics, autonomy stacks, or high-fidelity simulation environments.

Pay

USD 100,000–240,000 per-year-salary (base salary)

Tools

LiDARs, depth cameras, IMUs, GPS, ROS/ROS2, Gazebo, Isaac Sim, RViz

AI focus

The role supports sensing and compute systems underpinning the autonomy stack, including sensor performance considerations affecting autonomy algorithms.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)