Robotics Planning & Controls Engineer Intern

The role

You will develop motion planning or control algorithms and take them to hardware. You will benchmark against baselines and integrate with perception and learning components.

What you will do

• 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

Required qualifications

• 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
• 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

Nice to have

• Experience with MPC, whole-body control, sampling/optimization-based planners or similar

Benefits

• Competitive salaries
• Opportunity to work on a mission with tremendous climate impact

About the company

Gritt is an intelligent system that combines robotics and AI to build infrastructure. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT.