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About the Role
Gritt is developing physical AI to automate the construction of large-scale infrastructure. Internships are scoped projects where 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 internship is for either 3 or 6 months.
Responsibilities
- 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.
Requirements
- 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.
- Comfortable taking ownership of tasks with light supervision.
- Excellent problem-solving skills.
- Legally authorized to do an internship in the United States for either 3 months or 6 months.
Skills
- C++
- Python
- Dynamics
- Optimization
- Control theory
- Motion planning
- Control algorithms
- Robot hardware
- Perception
- Learning components
- MPC
- Whole-body control
- Sampling/optimization-based planners
Location
- SF Bay Area
Work Type
- In-person
- Internship
Experience Level
- Intern
Education Level
- MS/PhD in Robotics, ME, EE, or related field
- BS
Salary/Compensations
- Competitive salaries
Benefits
- Opportunity to work on a mission with tremendous climate impact.
About the Company
- 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.