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General Motors

2027 Summer Intern – Machine Learning Engineer, AV/AI Platform

Sunnyvale, CA, United States

$8,100 to $11,800 USD / month

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Job details

Pay: $8,100 to $11,800 USD / month
Working hours: 40 hours per week
Posting language: English
Posted: Oct 3, 2026

Original job description

Hybrid

Sunnyvale, California, United States of America

Full time

JR-202621695

Job Description

About the Team:

GM’s AV/AI Platform organization builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems. We are building a state-of-the-art AI training platform in close collaboration with model teams to deliver Autonomous car milestones, maximizing model flop utilization and iteration speed, and enhancing inference systems. We are augmenting training, data processing, evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. We accelerate compute performance through architectural changes and low-level optimizations, informed by advanced HIL platforms, AI tooling and workflows and instrumentation built in-house. We streamline compiler/build and modelbench performance; enhance data processing, preprocessing, and batch inference; and improve monitoring and availability to increase velocity and quality.

About the Role:

As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and/ or enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance.

What You’ll Do:

Develop scalable infrastructure and tools to support model training, model deployment to the edge devices, egression, and rules-based models, operations, and inference.
Suggest, collect and synthesize requirements and work with your managers or tech leads to create feature roadmap
Code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Perform specific responsibilities which vary by team.

Required Qualifications:

Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field.
Must be graduating between December 2027 and August 2029 and have at least one additional quarter/semester of school remaining following the completion of the internship.
Availability to work full-time, 40 hours per week, during the 12 week summer internship period between May 24th – August 13th or June 14th – September 3rd 2027
Strong foundation in algorithms and data structures, with proficiency in C++, Python, or another object-oriented programming language.
Demonstrated coursework, project, research, or applied experience in artificial intelligence or machine learning
Experience with algorithms, software development, or systems engineering fundamentals
Strong written and verbal communication skills and the ability to collaborate across teams.

Preferred Qualifications

Demonstrated software engineering experience through an internship, work experience, coding competition, student engineering team or competition (e.g., SAE student competitions, EcoCAR, Formula SAE, or Baja SAE), research, coursework, or personal project. Relevant experience may include vehicle systems, autonomy, robotics, embedded software, controls, simulation, sensor data, or ML; exposure to AI-assisted development tools, agentic workflows, or LLM-powered tools is a plus.
Familiarity with AI –assisted engineering tools (e.g., for code generation, model analysis, or experiment planning) to enhance productivity and understanding of ML systems.
Demonstrated creativity and quick problem-solving capabilities.
Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision
Experience programming in C++, Python, or another object-oriented language
Exposure to distributed systems and ML infrastructure, such as Spark, Ray, Kubernetes, Slurm, PyTorch, TensorRT, ONNX, Kubeflow, or similar technologies, and/or accelerator programming with CUDA, OpenCL, Triton, or related tools.
Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm)
Experience in CUDA, OpenCL, Triton or other accelerator programming language.
Passion for self-driving technology and its potential impact on the world

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 $8,100 – 11,800 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.

Work Arrangement:

Hybrid : This internship is categorized as hybrid. The selected intern is expected to report to the Sunnyvale, CA office up to three times per week or as determined by the team.

Location:

Sunnyvale, California

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 (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

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.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

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 (Careers.Accommodations@GM.com) 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 (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/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. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/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 (avature.net) (http://talent.gm.com/) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.Accommodations@GM.com .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.

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More about this job

Skills

Machine learning
Process data
Computer science
Artificial intelligence
Robotics
C++
Python
Object-oriented programming
Research
Software development
Communication skills
ML
Problem solving
Deep learning
Natural language processing
Signal processing
Data mining
Apache Spark
Kubernetes
PyTorch
Kubeflow

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