General Motors · 8 hours ago
2026 Summer Intern - Machine Learning Engineer, AI Kernels (PhD)
Sunnyvale, CA
Internship
Hybrid
Intern
$11,100/mo - $13,100/mo
Start in 2026 SummerGeneral Motors is focused on developing high-performance GPU kernels and custom libraries for machine learning models used in vehicles. As an AI Kernels intern, you will work with experienced engineers to design, implement, and benchmark CUDA kernels, contributing to the performance and reliability of the AI stack for autonomous driving features.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
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
Qualification
Required
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
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
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
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
Founded in 1908
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
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