FieldAI - Senior Controls Engineer (Federal)
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Requirements
• 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.
Benefits
• The salary range for this role is $70,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. • We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
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