2026 Summer Intern - Machine Learning Engineer, AI Kernels (PhD)General Motors • United States
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2026 Summer Intern - Machine Learning Engineer, AI Kernels (PhD)
General Motors
- United States
- United States
Über
About the team
We focus on developing high-performance GPU kernels and custom libraries that power state-of-the-art ML models' on-vehicle inference. Our charter is to make core AI workloads faster, more reliable, and easier to maintain and deploy. That includes building custom operators when vendor libraries fall short, integrating those kernels into our ML runtime stack, and consulting on performance 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 intern, you'll work alongside experienced kernel, compiler, and performance engineers on real production problems-profiling GPU workloads, experimenting with new kernel implementations, and strengthening the performance and robustness of the AI stack behind GM's next-generation autonomous and assisted driving features. You'll design, implement, and benchmark CUDA kernels and supporting infrastructure, contributing to the GPU kernels and custom libraries that improve performance, reliability, and developer experience across our ML stack.
What You'll Do:
Design and optimize GPU kernels and supporting libraries for core model operations used in on-vehicle inference.
Build and improve tooling and infrastructure that make it easier to profile, debug, and validate CUDA kernels and accelerator-backed code.
Help define and refine kernel requirements and priorities by 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 solutions to 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.
Required Qualifications
Currently enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Applied Math / Computational Science or a related STEM field.
Availability to work full-time (40 hours per 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/CuTe or other accelerator programming framework, such as OpenCL.
Familiarity with GPU performance profiling tools (e.g., Nsight Systems, Nsight Compute, nvprof).
Experience with mixed-precision computation (FP16 / INT8) and performance-accuracy tradeoffs.
Knowledge of GPU-accelerated libraries (e.g., cub, cuBLAS, cuDNN, TensorRT) and when to use custom kernels vs. library calls.
Background in parallel algorithms, numerical methods, or high-performance computing (HPC).
Prior research, publications, or coursework involving GPU acceleration or systems-level optimization.
Location:
Sunnyvale, CA
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.
Compensation:
The monthly salary range for this role is $11,100 - $13,100
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of the relocation stipend if you are selected, please apply using the permanent address you would move from.
What you'll 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, 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.)
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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
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Sprachkenntnisse
- English
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