2026 Summer Intern – AI/ML Software Engineer (Master's)

GM • Sunnyvale, CA

1d • Hybrid

About The Position

As a Simulation Test Engineering AI/ML Software Engineer inter n, you’ll partner with seni or engineers t o d evelop, evaluate, and deploy AI/ ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You’ll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle.

Requirements

• Currently pursuing or in the process of obtaining a Master’s in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.
• Solid understanding of modern machine learning techniques
• Demonstrated coursework, research, or projects in AI/ML.
• Strong programming skills in Python.
• Able to work fulltime , 40 hours per week.

Nice To Haves

• Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models.
• Hands-on experience with one or more machine learning frameworks (e.g., PyTorch , TensorFlow, JAX, or Keras )
• Experience with robotics, computer vision through projects or research.
• Familiarity with multimodal learning or working with sensor data.
• Interest in contributing to publications, open-source projects, or patents.
• Familiarity with systems programming languages (e.g., C++ or Java) is a plus.
• Intent to return to degree-program after the completion of the internship.

Responsibilities

• Quickly ramp up on assigned codebase, product area, and/or system
• Meet with the cross-functional stakeholders working on code in your assigned area
• Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs
• Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation
• Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems
• Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance , mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate
• Complete assigned tasks efficiently with few iterations
• Develop, test, and deploy production-ready code across components of our simulation infrastructure
• Identify problem statements, outline optimal solutions , account for tradeoffs and edge cases
• Participate in code reviews, technical discussions, and design reviews
• Collaborate with cross-functional teams to ensure seamless software integration
• Communicate effectively across multiple stakeholders

Benefits

• Paid US GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees