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Robotics Planning & Controls Engineer Intern

Gritt

South San Francisco, CAInternshipNo compensation foundPosted 1 day agoVerified open today
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At a glance

Compensation
No compensation found
Location
South San Francisco, CA
Role Type
Internship
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Gritt is a Series A robotics and AI startup developing physical AI to automate large‑scale infrastructure construction. Interns work on motion planning and control algorithms, integrate perception and learning components, and benchmark solutions in real‑world outdoor environments, with mentorship and potential full‑time offers.

Skills & qualifications

RequiredNice to have

Skills

C++PythonDynamicsOptimizationControl TheoryRobot Hardware ExperiencePerceptionLearningMPCWhole‑Body ControlSampling‑Based Planners

Qualifications

Pursuing MS/PhD in Robotics or Related FieldLegal Authorization for Internship in United States

Full job description

Gritt 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 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.

You've read the whole posting — now see how you match it.

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