Systems Research Engineer Intern - GPU Programming (Summer 2027)
Together AI2 days ago
Responsibilities
- Optimize and fine-tune GPU code to improve performance and scalability.
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems.
- Co-design GPU kernels and model architectures with modeling and algorithm teams.
- Contribute to the co-design of efficient GPU architectures and programming models with hardware and software teams.
- Stay current with advances in GPU programming techniques and technologies.
Requirements
- Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
- Knowledge of ML/AI applications and models.
- Knowledge of GPU programming performance profiling and optimization tools.
- Excellent problem-solving and analytical skills.
Benefits
- 12- to 14-week internship program.
- Internship dates are either May 17 to August 6 or June 14 to September 3, 2027.
- Housing stipend and other competitive benefits.
- Estimated US compensation of $58 to $63 per hour.
Categories
About Together AI
Together AI builds an AI-native cloud platform for developers, offering high-performance inference, fine-tuning/model shaping, and large-scale pre-training on on-demand GPU clusters with APIs and managed services. It emphasizes open-source models that teams can run and adapt, and also provides infrastructure for decentralized and scalable workloads. Founded in 2022 and headquartered in San Francisco, it is privately held and reports notable customers including Cursor, ElevenLabs, Salesforce, and Zoom.