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Field AI

Sensor Systems Engineer-Federal

Irvine, CA$70k–$300kfull timemidAdded 1 month ago

About this role

FieldAI seeks a Sensor Systems Engineer to design, integrate, and validate sensing and compute systems for autonomous robotic platforms. You'll work across hardware and software teams to architect perception systems using LiDARs, cameras, IMUs, and GPS that operate reliably in demanding field environments.

What you'll do

  • Design sensor architectures and select appropriate sensors (LiDAR, depth cameras, GPS, IMUs) to meet system requirements
  • Integrate sensors with electrical, mechanical, and software systems ensuring power, thermal, and protocol compatibility
  • Characterize sensor performance under real-world conditions and conduct intrinsic and extrinsic calibrations
  • Implement temporal synchronization strategies and minimize end-to-end latency across sensor systems
  • Support production scaling, QA processes, and field deployment monitoring of sensing systems
  • Collaborate with autonomy, compute, electrical, and mechanical teams on cross-functional integration challenges

What they're looking for

  • LiDAR, depth camera, IMU, and GPS sensor experience
  • Communication protocols (USB, Ethernet, GMSL, CAN, I2C, CSI)
  • ROS/ROS2, sensor drivers, and coordinate transform frameworks
  • Signal processing and sensor physics (optics, electromagnetic propagation)
  • Sensor calibration, characterization, and real-world environmental testing
  • Lab instrumentation (oscilloscopes, vibration/thermal analysis)
  • Timestamping, synchronization, and timing protocol implementation
  • Simulation tools (Gazebo, Isaac Sim, RViz)
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Field AI

Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.

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Likely interview questions

  • Walk us through your experience integrating multiple sensors (LiDAR, cameras, IMUs) on a robotic platform. How did you ensure temporal synchronization and spatial consistency across different sensor types?
  • Describe a time when you had to debug a sensor issue that crossed hardware and software boundaries. What was the problem and how did you approach root cause analysis?
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