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Field AI

Robotics Autonomy Engineer-Planning and Control

Irvine, CA$70k–$200kfull timemidAdded 1 month ago

About this role

Field AI seeks a Robotics Autonomy Engineer to develop planning and control systems for field-deployed robots that operate in complex real-world environments. You'll contribute to building risk-aware AI systems that go beyond standard data-driven methods to create reliable autonomous solutions.

What you'll do

  • Design and implement planning algorithms for autonomous robot navigation and task execution
  • Develop control systems that enable safe, risk-aware robot behavior in unpredictable environments
  • Integrate perception and decision-making modules into end-to-end autonomous systems
  • Test and validate autonomy algorithms on deployed robotic platforms
  • Collaborate with cross-functional teams to improve real-world robot performance
  • Contribute to next-generation AI architectures beyond standard transformer-based approaches

What they're looking for

  • Robotics planning and control algorithms
  • Autonomous systems design
  • Real-world robotics deployment experience
  • Software engineering and system integration
  • Python or C++ programming
  • Risk assessment and safety-critical systems
  • Machine learning fundamentals
  • Problem-solving for field robotics challenges
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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 with motion planning algorithms (RRT, PRM, trajectory optimization) and how you've applied them to real-world robotic systems.
  • Tell us about a time you had to balance safety and performance in an autonomous system—how did you approach risk assessment?
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