2026 Summer Intern – AIML Software Engineering Intern Simulation Core (PhD)

Job Description

To help facilitate administration of relocation benefits if you are selected 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 office up to three times per week or as determined by the team.

Location s : Sunnyvale California

Mountain View California

About the Team :

The Simulation group builds artificial intelligence (AI) and machine learning (ML) models that power realistic environments for testing and training advanced systems. These simulations generate diverse scenarios that help validate and improve decision-making policies across robotics autonomous systems and other AI-driven applications.

Think of Simulation as a virtual training ground where complex systems learn to operate safely and effectively. The team develops AI / ML models that control simulated entitieswhether vehicles robots or other agentsso they interact in realistic and dynamic ways.

Our technology stack includes generative models reinforcement learning (RL) and other ML approaches. The Simulation group collaborates closely with teams in behaviors perception safety engineering and infrastructure to deliver scalable high-fidelity environments.

As an intern youll gain hands-on experience in AI / ML model development training loop optimization and simulation infrastructure design while learning from experienced engineers in the robotics and AI space.

What Youll Do :

Assist in developing ML and RL models including training loop design and optimization.

Help streamline integration and contribute to ML infrastructure metrics and data pipelines.

Collaborate with the AI / ML team to support rapid experimentation and deployment in simulation environments.

Apply software engineering skills to accelerate project timelines in areas such as robotics autonomous systems and simulation frameworks.

Learn how simulation technologies are applied to real-world AI and ML systems.

Participate in code reviews technical discussions and design resign

Collaborate with cross-functional teams including hardware systems test and safety to ensure seamless software integration

Communicate effectively across multiple stakeholders

Required Qualifications :

Were looking for students who are eager to learn and contribute. What you need is curiosity strong fundamentals and a passion for AI and simulation.

Currently pursuing a PhD in Computer Science Robotics Electrical Engineering or a related field.

Familiarity with machine learning concepts and frameworks (e.g. TensorFlow PyTorch ).

Strong programming skills in Python or C.

Exposure to reinforcement learning generative models or GPU programming.

Interest in simulation robotics or autonomous systems.

Able to work fulltime 40 hours per week.

Preferred Qualifications :

Demonstrated software engineering experience from previous internships work experience coding competitions or publications .

Experience with projects involving ML pipelines optimization or robotics competitions.

Intent to return to degree-program after the completion of the internship / co-op .

Compensation :

The monthly salary range for this role is $12300 per month

GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.

What youll get from us (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

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 were looking out for your well-beingat work and at homeso 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.

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 .

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 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.

Required Experience :

Intern

Key Skills

Microsoft Office,Public Relations,Google Docs,Data Collection,MailChimp,Microsoft Word,Dermal Fillers,Microsoft Powerpoint,Research Experience,Microsoft Excel,Adobe Photoshop,Writing Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1