2027 Summer Intern, SEAM, Embodied AI (PhD)
$175k - $175k • Sunnyvale, California, United States of America • Internship
Posted 12d ago
Job Location
Sunnyvale, California, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems. Potential focus areas include state estimation and sensor fusion, sensor alignment and calibration, localization, next-generation mapping, and fallback and secondary capabilities.
Responsibilities
- Develop, prototype, and evaluate algorithms for sensor fusion, state estimation, localization, calibration, mapping, or related autonomy capabilities.
- Work with camera, lidar, radar, inertial, vehicle, map, and other multimodal data sources.
- Implement software and tools for data processing, visualization, offline analysis, simulation, and system evaluation.
- Analyze accuracy, robustness, latency, and failure modes across diverse operating conditions.
- Apply software engineering best practices, including design reviews, code reviews, automated testing, continuous integration, and documentation.
- Collaborate with perception, planning, controls, robotics, systems engineering, and vehicle-program partners.
- Communicate technical findings and contribute to design discussions and project documentation.
Requirements
- Currently pursuing a Ph.D. degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field.
- Demonstrated experience in robotics, state estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area through coursework, research, academic projects, or professional work.
- Strong programming skills in C++ and/or Python.
- Strong foundation in linear algebra, probability, geometry, optimization, or estimation methods.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a cross-functional, team-oriented environment.
- Strong written, verbal, and presentation skills.
- Availability to work full-time, 40 hours per week, during the internship period.
- Must be graduating between December 2027 and June 2028.
Benefits
- Monthly salary of $14,600.
- One-time lump sum taxable stipend payment.
- Paid U.S. GM holidays.
- GM Family First Vehicle Discount Program.
- Potential for growth within GM.
- Intern events and networking opportunities.
- Mentorship and hands-on experience with data and ML foundations behind autonomy.