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Field Ai

Robotics Autonomy Engineer-Planning and Control - Federal

Field Ai · Irvine, CA

Posted 9 days ago · $100,000-$200,000

or apply directly on Field Ai's site. We never take the application ourselves.

Is this posting real?

This role has been open
9 days
Field Ai's roles stay open a median of 44 days
Reposted
No
Salary listed
Yes
13% of Field Ai's roles list one
Ghost-job risk at Field Ai
low
0 stale, 1 reposted of 134 open
Hiring momentum
172 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Field Ai's own lever board since 2026-08-04. Full hiring picture for Field Ai.

About this role

As a Robotics Autonomy Engineer at Field AI, you will focus on designing, implementing, and deploying advanced motion planning and control algorithms for robotic systems. Your work will involve developing robust motion planning algorithms, integrating control systems, validating and testing algorithms, and diagnosing field performance issues. This role requires a strong understanding of robotics and programming skills, and offers the opportunity to work on real-world applications of robotics in dynamic environments.

Our read on this posting4.2out of 5
benefits
2/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Field Ai as an employer.

What you need

  • PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field with 2+ years of industry or applied research experience or MS degree in a related field with 4+ years of relevant experience, or BS degree in a related field with 8+ years of relevant experience
  • Strong understanding of motion planning, trajectory generation, and control systems
  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid)
  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc
  • Solid programming skills in C++ and Python on Linux-based systems
  • Familiarity with robotics middleware such as ROS/ROS 2

Nice to have

  • Exposure to real-world deployment of autonomous systems
  • Background in optimization, control, or numerical methods for trajectory planning
  • Familiarity with learning-based or hybrid planning approaches
  • Contributions to open-source planning or control frameworks
  • Familiarity with safety-critical autonomy and industrial robotics use cases

What you get

  • Salary range of $100,000-$200,000
  • Full benefits
  • Equity
  • Generous time off

Worth weighing

  • Salary range is quite broad
  • Focus on real-world deployment may require adaptability to unpredictable environments
  • The role involves high technical demands and collaboration across various autonomy layers

Summarised from Field Ai's posting. Read the full original.

Listed by Field Ai on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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