Internship 2026 Motion Planning and Controls Software Engineer

Bedrock is seeking a motivated intern to work on motion generation for autonomous systems. This role will involve working at the interface of machine learning and robot control systems, blending optimization and data driven methods to build the most scalable and safe autonomy stack.  

You’ll work closely with our autonomy team to build trajectory generation and control systems that understand and collision avoidance, motion dynamics and kinematic limits. Expect hands-on mentorship, regular code reviews, and the opportunity to contribute directly to a foundational piece of Bedrock’s production stack.

We’re looking for students who are excited about trajectory generation, controls and autonomy.

Required:

• Currently pursuing a BS, MS, or PhD in Mechanical Engineering, Computer Science, Robotics or related technical field.
• Coursework in dynamics, controls, or robotics
• Experience in Rust or C++ for writing onboard code 
• Experience with Python for data analysis and scripting
• Strong documentation and communication skills.
• Ability to work ~10-12 weeks in our San Francisco office during Summer 2026.

Preferred:

• Experience in graph search, optimization, or path planning algorithms.
• Experienced with concepts from control theory, including linear/nonlinear systems, state estimation / Kalman filtering, model predictive control, data-driven system identification, time-series data processing, and data visualization
• Familiarity with vehicle dynamics

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you. 

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.

While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.