Summer Intern, SEAM, Embodied AI – Masters

General Motors

. Develop, prototype, and evaluate algorithms for sensor fusion, state estimation, localization, calibration, mapping, or related autonomy capabilities .

Posted 10/15/2026internshipSunnyvale • California • United StatesEntry Level💰 $11,800 per monthWebsite

Tech Stack

Tools & technologies

Distributed SystemsPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

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

What you’ll need

Currently enrolled in or pursuing a Masters degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field
Demonstrated experience through coursework, research, academic projects, or professional work in robotics, state estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area
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
Experience with Kalman filtering, factor graphs, SLAM, visual-inertial odometry, bundle adjustment, point clouds, geometric computer vision, or multi-sensor calibration
Familiarity with autonomous vehicles, advanced driver assistance systems, robotics, ROS, or safety-critical systems
Experience with large-scale sensor or map datasets, simulation, data association, or offline evaluation
Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX
Familiarity with real-time systems, distributed systems, high-performance computing, or production software development
Intent to return to a degree program after completion of the internship or co-op
Must be graduating between December 2027 and June 2028

Benefits

Comp & perks

One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program
Paid U.S. GM holidays
GM Family First Vehicle Discount Program
Potential for growth within GM based on performance and business needs
Intern events and opportunities to network with company leaders and peers
Mentorship and hands-on experience with the data and ML foundations behind autonomy