General Motors
2027 Summer Intern – Machine Learning Intern, Autonomous Vehicles: Software Validation (PhD)
Sunnyvale, California, United States of America · On-site · Internship · Posted Oct 5, 2026
- Experience
- No number of years specified.
- Education
- Currently pursuing a PhD in Computer Science, Machine Learning, Engineering, or a related technical field.
About the job
Develop and execute machine-learning validation methods, tools, and analyses to assess autonomous-vehicle behavior and improve simulation and real-world testing.
What you'll do
- Enhance AI/ML validation frameworks and tools for autonomous-vehicle software.
- Design and implement automated testing pipelines for simulated and real-world validation; use ML to improve simulated performance metrics.
- Analyze driving data and apply ML and statistical methods to identify edge cases, failure modes, and validation gaps.
What they ask for
- Currently enrolled in a PhD program in Computer Science, Machine Learning, Engineering, or a related technical field.
- Graduating between December 2027 and August 2028.
- Experience coding in Python, SQL, C/C++, or other languages.
Nice to have
- Relevant research or work experience, such as in machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision.
- Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable.
Pay
$11,600 - $13,600 per month (base salary)
Tools
Python, SQL, C/C++, Hadoop, Hbase, Pig, Mapreduce, Bigtable
AI focus
Apply ML to validate autonomous-vehicle behavior, improve simulation metrics, automate testing, and identify edge cases and failure modes.
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