2027 Summer Intern, SEAM, Embodied AI
About The Position
The State Estimation, Alignment, and Mapping (SEAM) team develops the sensing and spatial understanding capabilities that help autonomous vehicles know where they are, interpret their surroundings, and maintain reliable operation over time. The team works on sensor fusion, state estimation, real-time localization, static and dynamic sensor calibration, next-generation mapping, and capabilities that support primary and fallback driving systems. SEAM combines robotics, computer vision, estimation theory, machine learning, geometry, and production software engineering. Our work supports both onboard, real-time autonomy and offboard, high-fidelity map and data-generation workflows. 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.
Requirements
- Currently enrolled in or pursuing a Master’s or Ph.D. 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.
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.
- Must be graduating between December 2027 and June 2028
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
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What This Job Offers
Job Type
Full-time
Career Level
Intern
