Systems Research Engineer Intern - GPU Programming (Winter 2027)
Together AI · San Francisco
About this role
**Systems Research Engineer Intern - GPU Programming (Winter 2027)** **Role Overview** As a Systems Research Engineer Intern specialized in GPU Programming, you will develop and optimize GPU-accelerated kernels and algorithms for ML/AI applications. Working with modeling, algorithm, hardware, and software teams, you will co-design GPU kernels and model architecture to enhance performance and efficiency of AI systems. *On-site at San Francisco HQ, January to April* **Responsibilities** • Optimize and fine-tune GPU code for better performance and scalability • Collaborate with cross-functional teams to integrate GPU-accelerated solutions • Stay current with latest GPU programming techniques and technologies **Requirements** • Strong background in GPU programming and parallel computing (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 **Program Details** 12-14 week internship (January 4th - April 9th) **Compensation** $58-$70/hour (US, determined by location, level, and role) Competitive benefits including housing stipends **About Together AI** Together AI is the AI Native Cloud, purpose-built for AI engineers. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom. Serves 400+ trillion tokens monthly. **Equal Opportunity Employer** Together AI offers equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
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