PhD AI/ML Engineer – AV Simulation Intern

General Motors Corporation; Sunnyvale (CA); Hybrid; USD 137,000 - 163,000; Full time

Benefits offered by this job

GM Holidays

Vehicle Discount Program

Growth opportunities at GM

Intern events

Job summary

General Motors seeks a PhD candidate for a Summer Intern – AI/ML Engineer in Autonomous Vehicles: Simulation (PhD). The role is hybrid in Sunnyvale, CA, and centers on translating cutting-edge research into validated, production-friendly simulation tools for AV systems.

You will train and evaluate models with large-scale driving data, design experiments, and collaborate across research and engineering teams to advance perception, prediction, and decision-making modules.

Qualifications

• Currently enrolled in a PhD program in computer science, ML, AI, robotics or related STEM field.
• Must have at least one additional quarter/semester remaining after internship.
• Demonstrated depth of AI/ML research via publications, projects or coursework.
• Strong understanding of modern ML and deep learning methods.
• Proficiency in Python and ML frameworks (PyTorch/TF/JAX).
• Experience designing experiments and analyzing results.
• Strong programming, debugging, and software development fundamentals.
• Excellent communication and collaboration across teams.

Responsibilities

• Research and prototype advanced ML methods for perception, prediction, planning, or decision-making.
• Train, evaluate, and improve models with large-scale driving and sensor data.
• Build data pipelines, experiments, and evaluation tools for rapid iteration.
• Validate models through simulation, testing, and failure-case analysis.
• Collaborate with researchers and engineers to integrate prototypes into AV systems.

Skills

Python

AI/ML research

Experiment design

Communication

Collaboration

Education

PhD program in CS/ML/AI

Tools

PyTorch

TensorFlow

JAX

CUDA

Job description

General Motors seeks a PhD candidate for a Summer Intern – AI/ML Engineer in Autonomous Vehicles: Simulation (PhD). The role is hybrid in Sunnyvale, CA, and centers on translating cutting-edge research into validated, production-friendly simulation tools for AV systems.

You will train and evaluate models with large-scale driving data, design experiments, and collaborate across research and engineering teams to advance perception, prediction, and decision-making modules.