FieldAI - Senior Controls Engineer (Federal)

• Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on planning, controls, or multi-agent systems; OR an MS degree in a related field with 3+ years of relevant industry experience. • Deep expertise in modern control theory, specifically with predictive and sampling-based control methodologies (such as MPC and MPPI), and vehicle dynamics modeling. • Proven experience deploying complex control and planning algorithms onto physical robots, rather than just in simulation. • Experience working with large-scale or off-road autonomous vehicles operating in unstructured, real-world environments. • Strong ability to design and implement computationally constrained control schemes tailored to the compute limitations of embedded robotic platforms. • Ability to verify, validate, and debug complex control architectures, overcoming system-level bottlenecks when adapting software to new vehicle platforms. • Strong ownership mindset with the ability to serve as a resident technical expert, bridging the gap between advanced autonomy research and reliable product deployment. • Hands-on experience with C++, Python, CUDA. ROS1/2, Docker, Linux • The Extras That Set You Apart • Experience with field robotics, off-road vehicles, or high-speed / safety-critical robotic systems. • Background in control theory, including classical and learning-based controllers. • Experience with low SWaP (Size, Weight, and Power) robotic platforms. • Prior ownership of system integration or technical leadership for a robotic platform. • Experience mentoring junior engineers or leading integration efforts in small teams. • Familiarity with autonomy stacks, planning systems, or real-time robotics software architectures. • Knowledge of containerization ( Kubernetes) and modern DevOps practices.