About the role#
This internship with the Mapping Engineering team focuses on building next-generation mapping systems. You will work alongside experienced engineers on projects related to geospatial algorithms, map data, or pipeline quality. You will receive mentorship while contributing to software that supports autonomous driving, localization, and simulation. This is a full-time, paid position for Summer 2027.
What you'll do#
- Contribute to a mapping or geospatial engineering project with support from your mentor.
- Write, test, and document code in Python or C++ for geometry processing, map analysis, or pipeline tooling.
- Explore road-network concepts such as intersections, lanes, connectivity, and map attributes.
- Analyze sensor-derived or third-party map data to investigate consistency and quality issues.
- Prototype or evaluate machine-learning approaches for feature extraction and map change detection.
- Build validation tools, metrics, and visualizations to assess software and map data correctness.
- Share project progress and findings through a final demo or summary.
- Participate in code reviews, design discussions, and team learning activities.
What you'll need#
- 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 research, coursework, personal projects, or internships.
- Foundational understanding of algorithms and data structures.
- Familiarity with version control, testing, and writing readable code.
- Ability to communicate technical ideas and work collaboratively.
- Interest in autonomous vehicles, geospatial systems, computer vision, robotics, or machine learning.
- Preferred: Experience with geospatial computing, computational geometry, or graph algorithms.
- Preferred: Exposure to tools like GeoJSON, OpenStreetMap, GeoPandas, GDAL/OGR, or PostGIS.
- Preferred: Experience working with spatial data such as lidar, radar, camera, or point-clouds.
- Preferred: Familiarity with machine-learning workflows, including dataset preparation and model evaluation.
Location & details#
- Location: Sunnyvale, California.
- Work Modality: Hybrid (on-site 3 days per week).
- Compensation: $9,600 to $11,800 per month.
- Benefits include a one-time lump sum taxable stipend, paid U.S. GM holidays, and the GM Family First Vehicle Discount Program.
About General Motors
General Motors is a public company based in Detroit, Michigan. It operates in the motor vehicle manufacturing industry. The company employs over 106,000 people. Its work spans the design and production of cars, trucks, and transportation technology, including software, electrification, and AI.
How to get in at General Motors
Securing an internship at General Motors requires a proactive approach to the application timeline. Because early applicants are often reviewed before the volume of candidates becomes unmanageable, Intern Insider sends an instant alert the moment a role matching your target is published. This allows you to submit your materials among the first group of applicants. Reaching out to the right person can also change your outcome. Intern Insider surfaces the recruiters behind the company's roles, which lets you contact them directly to ask about the position or a potential referral. This direct connection often improves response rates compared to submitting an application into a general queue.
