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 Controls Engineer (Federal)

3 weeks ago

United States

Full-time

Senior

Robotics Engineer

Artificial Intelligence and Machine Learning

C++ Docker Embedded Systems Kubernetes Linux Python

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Field AI

Internet Software & Services

1-10

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Description

Lead the design, implementation, and deployment of advanced control systems for an autonomous vehicle fleet.
Model vehicle dynamics and establish baselines for motion planning.
Adapt and train control models to transition between different vehicle platforms.
Develop, optimize, and implement robust control stacks for safe and reliable operations.
Evaluate advanced control schemes across different vehicle architectures.
Design computationally efficient control and planning algorithms for hardware and compute-constrained robots.
Verify, validate, and debug new control schemes on physical robots.
Lead architectural discussions for the controller-level safety layer.
Develop low-latency safety behaviors for vehicle fleets operating in unstructured environments.
Deploy multi-agent behaviors and bridge advanced research into reliable product development for real-world robotics.

Requirements

Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field focused on planning, controls, or multi-agent systems, or an MS in a related field with 3+ years of relevant industry experience.
Deep expertise in modern control theory, including predictive and sampling-based control methods such as MPC and MPPI.
Experience with vehicle dynamics modeling.
Proven experience deploying complex control and planning algorithms on physical robots, not just in simulation.
Experience working with large-scale or off-road autonomous vehicles in unstructured, real-world environments.
Ability to design and implement computationally constrained control schemes for embedded robotic platforms.
Ability to verify, validate, and debug complex control architectures across new vehicle platforms.
Strong ownership mindset and ability to serve as a resident technical expert.
Hands-on experience with C++, Python, CUDA, ROS1/2, Docker, and Linux.
Preferred: experience with field robotics, off-road vehicles, or high-speed/safety-critical robotic systems.
Preferred: background in classical and learning-based controllers.
Preferred: experience with low SWaP robotic platforms.
Preferred: prior ownership of system integration or technical leadership for a robotic platform.
Preferred: experience mentoring junior engineers or leading integration efforts in small teams.
Preferred: familiarity with autonomy stacks, planning systems, or real-time robotics software architectures.
Preferred: knowledge of Kubernetes and modern DevOps practices.

Benefits

Salary range of $70,000-$200,000.
Full benefits package.
Equity included in the compensation package.
Generous time off.
Opportunity to work remotely.
Work on field-deployed robotics with a world-class team.
Inclusive workplace culture with commitment to diversity and equal opportunity.

Interested in this position?

Apply directly on the company website

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