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Robotics Planning & Controls Engineer Intern

Gritt Robotics

South San Francisco, CAFull-time$35–85K/yrPosted 3 days agoVerified open 2 days ago
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At a glance

Compensation
$35–85K/yr
Location
South San Francisco, CA
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Gritt Robotics seeks a Robotics Planning & Controls Engineer Intern to develop motion planning and control algorithms, benchmark them, and integrate perception and learning components into hardware for large‑scale infrastructure projects.

Skills & qualifications

RequiredNice to have

Skills

Artificial IntelligenceResearchRoboticsInfrastructureC++PythonDynamicsOptimizationControl TheoryRobot Hardware ExperienceCompetition TeamsResearch ProjectsProblem SolvingMPCWhole‑Body ControlSampling/Optimization‑Based PlannersPerception IntegrationLearning Integration

Qualifications

Pursuing MS/PhD in Robotics or Related FieldLegally Authorized to Do an Internship in the United States for Either 3 Months or 6 Months

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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Robotics Planning & Controls Engineer Intern | Olive Jobs