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Robotics Planning & Controls Engineer Intern

Gritt Robotics · South San Francisco · Internship · Posted 2026-08-24

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Job description

Gritt https://gritt.ai/ is developing physical AI to automate the construction of large-scale infrastructure around the globe. Gritt’s systems are already deployed commercially in difficult outdoor environments, and are helping to build critical energy infrastructure. The founding team https://www.gritt.ai/team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT. Gritt is a Series A company backed by marquee VCs. Role: Robotics Planning & Controls Intern Location: SF Bay Area (in-person) About Internships at Gritt Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months. We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact. What you'll get to work on - Develop motion planning or control algorithms and take them to hardware. - Benchmark against baselines; tune for robustness in real-world conditions. - Integrate with perception and learning components in the full stack. WHAT WE LOOK FOR - Pursuing MS/PhD in Robotics, ME, EE, or related field (strong BS welcome). - Solid foundations in dynamics, optimization, and control theory; strong C++ or Python. - Hands-on evidence: robot hardware experience, competition teams, or research projects. - Should be comfortable taking ownership of tasks with light supervision. - Must have excellent problem-solving skills. - Legally authorized to do an internship in the United States for either 3 months or 6 months. NICE TO HAVE - Experience with MPC, whole-body control, sampling/optimization-based planners or similar. An example project could be could be anything from safe-stop and human-avoidance behaviors around live crews, to manipulation from a moving base on rough terrain.