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Systems Research Engineer Intern - GPU Programming (Winter 2027)

Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling a

Company

Together AI

Location

San Francisco

Status

Open

Posted

2026-09-18T15:45:36+00:00

Together AI is hiring a GPU programming intern to work on-site at its San Francisco headquarters from January 4 to April 9. The intern optimizes GPU-accelerated kernels and algorithms for ML/AI workloads, co-designs kernels with the modeling and algorithm team, integrates GPU-accelerated code into existing software, and keeps up with GPU programming research. Requirements include CUDA and/or Triton, parallel computing, knowledge of ML/AI models, and GPU profiling and optimization tools. Pay is $58–$70 an hour, plus housing stipends.