# Systems Research Engineer Intern - GPU Programming

**Company:** [Together AI](https://hotfix.jobs/companies/together-ai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $121k – $131k/yr
**Experience:** 0+ years
**Skills:** CUDA, Triton, Gpu Programming, Parallel Computing, Performance Profiling, Ml/Ai Applications, Optimization Tools
**Posted:** 2026-06-12

> Intern developing and optimizing GPU-accelerated kernels for ML/AI applications. Requires strong GPU programming background (CUDA/Triton) and knowledge of performance optimization.

## Job Description

## 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

## Internship Program Details
- Fall internship program spans 12 to 16 weeks (September 14th to December 18th)
- Opportunity to work with industry-leading engineers building a cloud from the ground up
- Possibility to contribute to influential open source projects

## Compensation
- Estimated US hourly rate: $58 to $63
- Competitive compensation, housing stipends, and other competitive benefits

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**Canonical:** https://hotfix.jobs/jobs/e8ab04b5-6d2f-4152-ad68-8143af8b6417