Systems Research Engineer Intern - GPU Programming (Summer 2027)
Together AI· Research
San Francisco$58/hr - $70/hrinternPosted 4w ago
About the role
Internship role focused on developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications, co-designing GPU kernels and model architectures, and advancing GPU programming techniques in a collaborative environment.
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:Parallel computing
Benefits
- housing stipends
- 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.
AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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