General Motors
2027 Summer Intern, SEAM, Embodied AI (Masters)
Sunnyvale, California, United States of America · Hybrid · Internship · Posted Oct 15, 2026
- Experience
- Experience may come from coursework, research, academic projects, or professional work; no number of years specified.
- Education
- Currently enrolled in or pursuing a master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field.
About the job
Develops and evaluates algorithms and software for autonomous-vehicle sensing, state estimation, localization, calibration, mapping, and reliability.
What you'll do
- Prototype and evaluate autonomy algorithms using multimodal sensor and vehicle data.
- Build software and tools for processing, visualization, simulation, offline analysis, and system evaluation; assess accuracy, robustness, latency, and failure modes.
- Collaborate across engineering teams and communicate findings through discussions and documentation.
What they ask for
- Currently enrolled in or pursuing a master’s degree in a relevant technical field.
- Demonstrated experience in robotics, estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area.
- Strong programming skills in C++ and/or Python, with a foundation in relevant mathematical methods.
- Available to work full-time, 40 hours per week, and graduating between December 2027 and June 2028.
Nice to have
- Experience with methods such as Kalman filtering, factor graphs, SLAM, visual-inertial odometry, bundle adjustment, or multi-sensor calibration.
- Familiarity with autonomous vehicles, ROS, large-scale sensor or map datasets, ML frameworks, or production software development.
Pay
$11,800 per month (monthly salary; currency not explicitly stated)
Tools
C++, Python, ROS, PyTorch, TensorFlow, JAX
AI focus
Applies machine learning and related methods to autonomous-vehicle sensing, estimation, localization, mapping, and reliability; ML frameworks are listed as preferred experience.
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