Sunnyvale Hiring 2027 Summer ML Engineer Intern

About the Team

The Mapping organization is building next-generation mapping systems that go beyond static high-definition maps. Teams use onboard sensor data, algorithms, and machine learning to reconstruct and maintain maps at scale, supporting localization, perception, simulation, and autonomous driving.

The Role

This Software Engineering Intern will join the Mapping Engineering team and work with experienced engineers on a scoped project related to map data, geospatial algorithms, or mapping pipeline quality. Depending on the project, you may help process sensor-derived data, improve how map features are represented or validated, or evaluate methods for identifying map changes.

You will receive guidance from a mentor and collaborate with partner teams such as Perception, Localization, and Simulation. The internship offers a chance to apply software engineering skills to real-world mapping challenges while learning how research and prototypes become dependable engineering systems.

What You'll Do

• Contribute to a well-defined mapping or geospatial engineering project, with support from your mentor and team.
• Write, test, and document code in Python and/or C++ for geometry processing, map data analysis, or pipeline tooling.
• Explore road-network and map concepts, including lanes, intersections, boundaries, connectivity, and map attributes.
• Help analyze sensor-derived or third-party map data and investigate data quality or map consistency issues.
• Prototype or evaluate algorithms and machine-learning approaches for feature extraction, map change detection, or map quality checks.
• Build or improve tests, validation tools, metrics, and visualizations to assess the correctness of map data or software.
• Share project progress, findings, and a final demo or summary with your mentor and teammates.
• Take part in code reviews, design discussions, and team learning activities.

Minimum Qualifications

• Currently pursuing a bachelor's or master's degree in Computer Science, Electrical Engineering, Robotics, GIS, or a related technical field.
• Experience programming in Python or C++ through coursework, research, internships, or personal projects.
• Familiarity with core software engineering practices such as version control, testing, and writing readable code.
• Foundational understanding of data structures and algorithms.
• Interest in geospatial systems, robotics, autonomous vehicles, computer vision, or machine learning.
• Ability to communicate technical ideas, ask questions, and work collaboratively.

Preferred Qualifications

• Coursework, research, or project experience in geospatial computing, computational geometry, robotics, computer vision, machine learning, or graph algorithms.
• Exposure to map or geographic data formats and tools such as GeoJSON, OpenStreetMap, GeoPandas, GDAL/OGR, or PostGIS.
• Experience working with camera, lidar, radar, point-cloud, or other spatial data.
• Experience with C++ and Python, or an interest in working across both languages.
• Familiarity with machine-learning workflows such as preparing datasets, evaluating models, or building prototypes.
• Prior internship, research, or team-project experience developing software collaboratively.

What You'll Get from Us

• 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.

GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.