Robotics Planning & Controls Engineer Intern

Job details

Work model

On-site

Salary

Not listed by source

Location

South San Francisco

Company website

www.gritt.ai

Hiring context

How this role compares at Gritt Robotics Inc

Gritt Robotics Inc has 23 live roles in MeritLog’s catalog across 4 job families, and 15 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Gritt https://www.gritt.ai/ is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team https://www.gritt.ai/team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms. 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.

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