Together AI GPU Programming Intern Summer 2027 San Francisco
Apply by 26 Dec 2026
Key Facts
| Role | Systems Research Engineer Intern - GPU Programming (Summer 2027) |
|---|---|
| Company | Together AI |
| Location(s) | San Francisco, CA |
| Term | Summer 2027 |
| Deadline | Rolling — no firm deadline listed (apply early) |
| Pay / stipend | See official posting |
Overview
Together AI’s Summer 2027 GPU programming internship is systems research, not a generic SWE rotation. You optimize GPU kernels and algorithms for ML workloads, co-design with the modeling team, and profile for performance.
The posting calls out CUDA and/or Triton, parallel computing, and comfort with ML models. San Francisco based.
Eligibility / Key Requirements
- Strong GPU programming and parallel computing (CUDA and/or Triton)
- Knowledge of ML/AI models and applications
- Experience with GPU performance profiling and optimization
- Able to collaborate with hardware and software teams
- Available Summer 2027 in San Francisco
How to Apply
- Open the official application from EduBard’s Apply button for this role.
- Create or sign in to your employer careers account.
- Submit your resume and any required materials before the deadline.
Compiled from the official posting; verify details on the employer site before applying.
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