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Field Ai

Robotics Autonomy Engineer, Planning and Control - Federal

Field Ai · Irvine, CA

Posted about 2 months 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
65 days
Field Ai's roles stay open a median of 65 days
Reposted
No
Salary listed
Yes
13% of Field Ai's roles list one
Ghost-job risk at Field Ai
high
109 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
2026-10-08

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 - Planning at Field AI, you will design and implement advanced motion planning and control algorithms to enable robots to navigate diverse and challenging environments. Your role will involve developing robust algorithms, integrating control systems, validating performance through testing, and diagnosing issues in real-world deployments. This position offers the opportunity to work on cutting-edge robotics technology that operates beyond simulation.

Our read on this posting3.4out of 5
benefits
1/5
freshness
1/5
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

  • Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field
  • 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 between $100,000 - $200,000 annually, based on experience
  • Open to hybrid or remote work options

Worth weighing

  • No specific details on the company's current projects or technologies being used
  • The role requires working on US government projects, which may involve additional clearance or compliance considerations

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

Listed by Field Ai on their lever job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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