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

General Motors is a leader in automotive innovation, and they are seeking an AI/ML Software Engineer intern to assist in the development and evaluation of AI/ML tools for autonomous vehicle software validation. The intern will collaborate with senior engineers and work on simulation testing to enhance the performance of autonomous driving systems.

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

Skills

• 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
• 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

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

Company Overview

Company H1B Sponsorship