2026 Summer Intern Machine Learning Engineer, AI Kernels (PhD)

Sunnyvale, CA - USA

Monthly Salary: $ 11100 - 13100

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description

About the team

We focus on developing high-performance GPU kernels and custom libraries that powerstate-of-the-artML models on-vehicle inference. Our charter is to make core AI workloads faster more reliable and easier tomaintainand deploy. That includes building custom operators when vendor libraries fall short integrating those kernels into our ML runtime stack andconsulting onperformance and CUDA debugging across the AV software stack. We collaborate closely with AI Solutions AI Compilers AI Architecture and AI Tooling to ensure models can be deployed efficiently to the car while meeting strict latency and reliability targets.

About the role

As an AI Kernels internyoullwork alongside experienced kernel compiler and performance engineers on real production problemsprofiling GPU workloads experimenting with new kernel implementations and strengthening the performance and robustness of the AI stack behind GMs next-generation autonomous and assisted driving features.Youlldesign implement and benchmark CUDA kernels andsupportinginfrastructure contributing to the GPU kernels and custom libraries that improve performance reliability and developer experience across our ML stack.

WhatYoullDo:

Design andoptimizeGPU kernels and supporting librariesfor core model operations used in on-vehicle inference.

Build and improve tooling and infrastructurethat make it easier to profile debug andvalidateCUDA kernels and accelerator-backed code.

Help define and refine kernel requirements and prioritiesby working with partners in AI Solutions Compilers and Architecture and turning them into concrete tasks and project plans.

Implement benchmark and iterate on CUDA-based solutionsto get the most out of modern GPU hardware for real production workloads.

Take on team-specific projects which may include performance investigations reliability improvements or prototype explorations depending on current priorities.

RequiredQualifications

Currently enrolled in a PhD program in Computer Science Computer Engineering Electrical Engineering Applied Math / ComputationalScienceora relatedSTEM field.

Availability to work full-time (40 hoursper week) during the internship period.

Demonstrated coursework research or projects in GPU programming parallel computing high-performance computing (HPC) machine learning systems or computer architecture.

Strong programming skills in C

Preferred Qualifications

Experience with CUDA/CUTLASS/CuTeor other accelerator programming framework such as OpenCL.

Familiarity withGPU performance profiling tools(e.g. Nsight Systems Nsight Computenvprof).

Experience withmixed-precision computation(FP16 / INT8) and performanceaccuracy tradeoffs.

Knowledge ofGPU-accelerated libraries(e.g.cubcuBLAScuDNNTensorRT) and when to use custom kernels vs. library calls.

Background inparallel algorithms numerical methods or high-performance computing (HPC).

Priorresearch publications or coursework involving GPU acceleration or systems-level optimization.

Location:

Sunnyvale CA

Work Arrangement:

Hybrid: This internship is categorized ashybrid. The selected intern is expected to report to the office up to three times per week or asdeterminedby the team.

Compensation:

The monthly salary range for this role is $11100 $13100

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

To helpfacilitateadministration oftherelocationstipendif you are selected please apply using the permanent address you would move from.

Whatyoullget 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

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Required Experience:

Intern

Job DescriptionAbout the teamWe focus on developing high-performance GPU kernels and custom libraries that powerstate-of-the-artML models on-vehicle inference. Our charter is to make core AI workloads faster more reliable and easier tomaintainand deploy. That includes building custom operators when ...