About the role#
As a Machine Learning Intern on the Software Validation team, you will help verify the behavior of autonomous vehicles. You will design validation strategies and build tools to evaluate AI systems and ADAS features. Your work will directly support software releases and help define performance requirements for autonomous systems.
What you'll do#
- Improve AI and machine learning validation frameworks for autonomous vehicle software.
- Create automated testing pipelines for both simulated and real-world driving scenarios.
- Use machine learning to refine simulated performance metrics.
- Develop tools that use statistical methods to identify edge cases and failure modes.
- Analyze large driving datasets to find gaps in validation and increase overall testing coverage.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Engineering, Machine Learning, or a related field.
- Graduation date between December 2027 and August 2028.
- Coding proficiency in Python, SQL, or C/C++.
- Experience in areas such as deep learning, reinforcement learning, computer vision, data mining, or simulation.
- A history of software engineering through work experience, internships, coding competitions, or academic papers.
- Familiarity with systems software, algorithms, or big data tools like Hadoop, Hbase, or Mapreduce.
- A record of achievement through patents, fellowships, grants, or first-authored conference publications.
- An intent to return to your degree program after the internship.
Location & details#
- Location: Sunnyvale, California.
- Term: Summer 2027.
- Status: Full-time, paid internship.
- Modality: On-site.
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.
