Field AI

Field AI transforms industries through on edge robotic Autonomy. Exciting news! Beta version 2.0 is now released and deployed on all our robots worldwide with improved customer experience and data delivery, along with enhanced mobility! Next release: S...

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Senior/Staff Robotics Autonomy Engineer-Planning and Control (Federal)

8 hours, 11 minutes ago

United States

Full-time

Senior

Robotics Engineer

Artificial Intelligence and Machine Learning

C++ Linux Python

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Field AI

Internet Software & Services

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Description

Develop robust motion planning and navigation algorithms for complex real-world scenarios.
Design optimization-driven path and trajectory generation approaches for smooth and efficient robot movement.
Ensure planning methods are scalable, reusable, and adaptable across different deployment contexts.
Develop and tune control algorithms for precise trajectory tracking and stable robot operation.
Collaborate across autonomy layers to coordinate perception, planning, and control.
Build and maintain testing pipelines from unit tests through full robot deployment.
Use simulation and testing environments to evaluate algorithms, benchmark performance, and validate regressions.
Analyze real-world telemetry to diagnose issues and improve robustness.
Investigate field deployment issues through structured data analysis and debugging.
Deliver targeted performance improvements while preserving general reliability.

Requirements

PhD in Robotics, Computer Science, Electrical Engineering, or a related field with 2+ years of industry or applied research experience, or MS with 4+ years of relevant experience, or BS with 8+ years of relevant experience.
Strong understanding of motion planning, trajectory generation, and control systems.
Experience developing algorithms for wheeled, legged, wheeled-legged, or humanoid robotic systems.
Familiarity with motion planning libraries such as OMPL, MoveIt, or Nav2 stack.
Strong programming skills in C++ and Python on Linux-based systems.
Familiarity with ROS or ROS 2 middleware.
Experience with robot sensors such as LiDARs, stereo/depth cameras, IMUs, GPS, and wheel encoders.
U.S. Person eligibility is required for this federal role.
Exposure to real-world deployment of autonomous systems is preferred.
Background in optimization, control, or numerical methods for trajectory planning is preferred.
Familiarity with learning-based or hybrid planning approaches is preferred.
Contributions to open-source planning or control frameworks are preferred.
Familiarity with safety-critical autonomy and industrial robotics use cases is preferred.

Benefits

Salary range of $70,000 to $300,000.
Full benefits package.
Equity included as part of compensation.
Generous time off.
Remote work option.
Opportunity to work on deployed robotics systems in real-world environments.
Join a team with expertise from leading robotics and AI organizations.

Interested in this position?

Apply directly on the company website

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