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Systems Research Engineer Intern - GPU Programming (Winter 2027)

Together AI· Research
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San Francisco$58/hr - $70/hrinternPosted 4w ago

About the role

Internship focused on developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications, co-designing GPU kernels and model architectures, and contributing to GPU architecture and programming model co-design. On-site in San Francisco for Winter term (January–April).

Responsibilities

  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies

Qualifications

  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills

Skills

Required:GPU programmingCUDA
Nice to have:Triton

Benefits

  • housing stipends
  • competitive compensation and other competitive benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

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