2027 Summer Intern, SEAM, Embodied AI (Masters)

General Motors • Sunnyvale, CA

1d • Hybrid

About The Position

The State Estimation, Alignment, and Mapping (SEAM) team develops sensing and spatial-understanding capabilities for autonomous vehicles, including sensor fusion, state estimation, real-time localization, sensor calibration, next-generation mapping, and capabilities supporting primary and fallback driving systems. The team combines robotics, computer vision, estimation theory, machine learning, geometry, and production software engineering to support onboard autonomy and offboard map and data-generation workflows.

As a SEAM Intern, you will complete a well-scoped research or engineering project in sensing, estimation, localization, mapping, or autonomy reliability. Working with experienced engineers and researchers, you will design algorithms, implement software, evaluate system performance, and learn 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 or secondary capabilities.

The position is based in Sunnyvale, California, and is categorized as on-site, with the selected intern expected to report to the office three days per week. The internship requires full-time availability of 40 hours per week. The monthly salary is $11,800. Eligible students selected for the 2027 Student Program will receive a one-time taxable lump-sum stipend.

Requirements

• Currently enrolled in or pursuing a master's 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.
• Must be graduating between December 2027 and June 2028.

Nice To Haves

• 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.

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.

Benefits

• 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.
• A one-time lump-sum taxable stipend for eligible students selected for the 2027 Student Program.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern