Skip to main content
Share:
Together AI4 days ago

Systems Research Engineer Intern - GPU Programming

onsite🇺🇸USSan Francisco, USintern$58 - $70 / hour

Recruiter Fit Breakdown & Candid Summary

1

This on-site internship in San Francisco runs from January to April 2027 and focuses on GPU programming, parallel computing, and ML kernel optimization. Ideal candidates possess a strong backgrou

2

Standard role matching posting requirements.

3

Standard role matching posting requirements.

Role Responsibilities

  • 1Optimize and fine-tune GPU code to achieve better performance and scalability
  • 2Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • 3Stay up-to-date with the latest advancements in GPU programming techniques and technologies
  • 4Co-design GPU kernels and model architectures with modeling and algorithm teams
  • 5Contribute to the co-design of efficient GPU architectures and programming models with hardware and software teams

Skills Matrix

Must-Have Skills

5 required
GPU Programming
Parallel Computing
CUDA
Triton
Machine Learning(ML)

Nice-to-Have Skills

1 preferred
Performance Profiling
Free Instant Match Check

Will an ATS filter reject your resume for this role?

Check your keyword match score, missing must-have skills, and formatting flags — before you apply.

Checking saved resume…

No signups. Free check in 3 seconds.

Ready to submit your application?

Apply directly on Together AI's official job portal.