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Field AI

Perception Engineer — 3D Representation & Navigation

Irvine, CA$135k–$190kfull timemidAdded today

About this role

FieldAI seeks a Perception Engineer to develop 3D representation and navigation systems for embodied AI robots deployed in real-world field conditions. You'll combine classical robotics engineering with modern learning approaches to build reliable perception pipelines that enable autonomous systems to understand and navigate complex environments.

What you'll do

  • Design and implement 3D scene representation systems for robot perception
  • Develop navigation algorithms that integrate visual and sensor data
  • Optimize perception pipelines for deployment on resource-constrained hardware
  • Validate algorithms on physical robots in field environments
  • Collaborate with roboticists and ML engineers to improve system reliability
  • Debug and refine perception systems based on real-world deployment feedback

What they're looking for

  • 3D computer vision and scene understanding
  • Robot navigation and path planning
  • Sensor fusion and calibration
  • Python and C++ programming
  • ROS (Robot Operating System)
  • SLAM or visual odometry experience
  • Deep learning frameworks (PyTorch, TensorFlow)
  • Hardware integration and embedded systems
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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

  • Describe your experience building perception systems for physical robots—what were the biggest gaps between simulation and real-world performance?
  • How do you approach designing 3D representations that balance accuracy with computational efficiency on edge devices?
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