2027 Summer Intern – AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)

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

Benefits offered by this job

Paid US GM Holidays

GM Family Discount Program

Networking opportunities with leaders

Job summary

General Motors LLC is seeking a PhD AI/ML Engineering Intern to advance AI/ML capabilities within its Autonomous Vehicles organization. This hybrid role involves working with perception, prediction, planning, and simulation using real-world driving and sensor data.

The ideal candidate is currently enrolled in a PhD program, has a solid background in AI/ML, and is proficient in Python with experience in frameworks like PyTorch or TensorFlow.

Qualifications

• Currently enrolled full-time in a PhD program related to AI/ML.
• Strong understanding of modern machine learning and deep learning.
• Proficiency in Python and hands-on experience with ML frameworks.

Responsibilities

• Research and prototype advanced machine learning methods.
• Design, train, and evaluate models using real-world data.
• Collaborate with engineers and researchers on autonomous vehicle systems.

Skills

AI/ML research

Python programming

Machine learning frameworks

Experiment design

Communication skills

Collaboration

Education

PhD in computer science or related STEM field

Tools

PyTorch

TensorFlow

JAX

Job description

Job Description About the Role

As a PhD AI/ML Engineering Intern within General Motors' Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.

What you'll do

• Research and prototype advanced machine learning methods for perception, prediction, planning, or decision-making.
• Design, train, evaluate, and improve models using large-scale multimodal driving and sensor data.
• Build data pipelines, experimentation workflows, and evaluation tools for rapid model iteration.
• Validate models through simulation, testing, performance analysis, and failure-case investigation.
• Optimize models and systems for scalability, latency, reliability, and deployment constraints.
• Collaborate with engineering and research partners to integrate prototypes into autonomous vehicle systems.
• Document findings, present technical insights, and contribute to publications or other research outputs.

Required qualifications

• Currently enrolled full-time in a PhD program in computer science, machine learning, artificial intelligence, robotics, engineering, or a related STEM field.
• Must have at least one additional quarter/semester of school remaining following the completion of the internship.
• Demonstrated depth of AI/ML research through publications, research projects, advanced coursework, or equivalent technical work.
• Strong understanding of modern machine learning and deep learning methods.
• Proficiency in Python and hands-on experience with an ML framework such as PyTorch, TensorFlow, or JAX.
• Experience designing experiments, analyzing results, and applying quantitative problem-solving methods.
• Strong programming, debugging, and software development fundamentals.
• Strong communication skills and the ability to collaborate across research and engineering disciplines.
• Availability to work full-time, 40 hours per week, during the internship period.

Preferred qualifications

• Conduct research in autonomous vehicles, ADAS, robotics, computer vision, or embodied AI.
• Demonstrate knowledge of foundation models, transformers, generative and diffusion models, or vision-language architectures.
• Apply multimodal learning techniques to camera, lidar, radar, or other sensor data.
• Use self-supervised, imitation, reinforcement, or deep reinforcement learning methods.
• Train models on large-scale datasets using distributed, parallel, or high-performance computing environments.
• Develop ML systems, data pipelines, experimentation frameworks, or production-oriented model infrastructure.
• Validate models through simulation, closed-loop environments, or real-world driving scenarios.
• Apply expertise in trajectory prediction, behavior planning, motion planning, perception, mapping, or structured scene understanding.
• Program in C++ or other systems programming languages.
• Optimize models and systems using GPU programming, CUDA, accelerator frameworks, or performance profiling.
• Apply numerical optimization, statistical estimation, probabilistic modeling, and systems-level tradeoff analysis.
• Demonstrate a strong research record through first-authored publications, grants, fellowships, patents, or open-source contributions.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $12,300-$14,600 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.

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

Work Arrangement

Start dates for this internship role are May 24th and June 14th of 2027. Assignments will be based on team placement to ensure interns are located with their working team and leader. Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to their designated work location three times per week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.

Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

Explore our global locations

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.