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Systems Research Engineer Intern - GPU Programming (Winter 2027)

San Francisco💼 Internship💰 $58–$58🗓 2026-09-18 → 2026-09-26

Core

Develop and optimize GPU-accelerated kernels and algorithms for ML/AI applications, co-designing GPU kernels and model architecture to enhance AI system performance and efficiency.

Role type

Systems Research Engineer Intern (GPU Programming)

Builds

GPU-accelerated kernels and algorithms for ML/AI applications

Domain

Artificial Intelligence / High-Performance Computing

Deliverable

production ML models

Required skills

GPU programming, parallel computing, CUDA, Triton, ML/AI model knowledge, performance profiling, optimization

Responsibilities

Optimize and fine-tune GPU code for performance and scalability; Collaborate with cross-functional teams to integrate GPU-accelerated solutions into software systems; Stay up-to-date with latest GPU programming techniques and technologies

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