# Systems Research Engineer Intern - GPU Programming (Winter 2027) at Together

- Company: Together
- Status: Open
- Workplace: On-site
- Location: San Francisco
- Level: Junior
- Discipline: AI & ML
- Employment: Internship
- Posted: 2026-09-18
- Skills: Research
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5238411007

## Description

Role Overview 
 As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.
 This internship is based on-site at our San Francisco HQ, running through the Winter term from January to 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
 Requirements 
• 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
 About Together AI 
 Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers ge

More Together roles: https://deviantjobs.com/companies/together