2027 Summer Intern, SEAM, Embodied AI

Job Description

Work Arrangement:

Hybrid: This internship is categorized ason-site. The selected intern is expected to report to the office 3 days a week.

Location:

Sunnyvale CA

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.

Potential focus areas include:

• State Estimation and Sensor Fusion: Combine information from multiple sensors and vehicle signals to estimate position orientation motion and other states robustly.
• Sensor Alignment and Calibration: Develop methods for static and dynamic calibration sensor registration and maintaining alignment as vehicle and environmental conditions change.
• Localization: Improve real-time localization and map-based positioning across diverse driving environments.
• Next-Generation Mapping: Build or evaluate high-fidelity large-scale maps that provide useful spatial context beyond the immediate sensor range.
• Fallback and Secondary Capabilities: Develop reliable estimation localization or mapping functions that support safe operation when nominal system capabilities are unavailable or degraded.

• 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.

• Currently enrolled in or pursuing a Masters 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.

• 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

Compensation:

• The monthly salary range for this role is $11800 $14600 per month
• GM will provide a 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

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