General Motors
2027 Summer Intern - AI/ML Engineer, Autonomous Vehicle: Simulation
Sunnyvale, California, United States of America · Hybrid · Internship · Posted Oct 1, 2026
- Education
- Currently pursuing a bachelor’s degree in a listed field; at least one additional quarter/semester of school must remain after the internship.
About the job
Develop and deploy AI/ML solutions that scale testing and evaluation of GM’s autonomous-vehicle software through simulation and evaluation pipelines.
What you'll do
- Apply AI/ML to scale testing, classify autonomy performance, and identify critical scenarios.
- Integrate ML models into simulation tests and evaluation pipelines; develop, test, and deploy production-ready code.
- Define and implement solutions, including edge cases, and collaborate with stakeholders on designs and code reviews.
What they ask for
- Currently pursuing a bachelor’s degree in computer science, AI, ML, robotics, engineering, or a related STEM field, with at least one school quarter/semester remaining after the internship.
- Solid understanding of modern machine learning techniques and demonstrated AI/ML coursework, research, or projects.
- Strong programming skills in Python.
- Able to work full-time, 40 hours per week.
Nice to have
- Exposure to deep learning architectures such as Transformers, CNNs, or diffusion models, and/or experience with PyTorch, TensorFlow, JAX, or Keras.
- Robotics or computer vision background; familiarity with multimodal learning or sensor data.
Pay
$8,100-$9,600 per month (base salary)
Tools
Python, Transformers, CNNs, diffusion models, PyTorch, TensorFlow, JAX, Keras
AI focus
Apply AI/ML to autonomous-vehicle simulation, testing, performance classification, scenario mining, and evaluation pipelines.
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