Together AI•yesterday
Systems Research Engineer Intern - GPU Programming
Recruiter Fit Breakdown & Candid Summary
1
Together AI is seeking a Systems Research Engineer Intern specializing in GPU Programming for Summer 2027.
2
The ideal candidate possesses a strong background in parallel computing, CUDA, Triton, and machine learning model optimization.
3
This 12 to 14-week internship is based in San Francisco with an estimated hourly rate of $58 to $70.
4
Applicants who lack hands-on GPU programming or performance profiling experience should not apply.
Role Responsibilities
- 1Optimize and fine-tune GPU code to achieve better performance and scalability
- 2Co-design GPU kernels and model architectures with the modeling and algorithm team
- 3Collaborate with hardware and software teams on efficient GPU architectures and programming models
- 4Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
- 5Stay up-to-date with the latest advancements in GPU programming techniques and technologies
Skills Matrix
Must-Have Skills
GPU Programming
Parallel Computing
CUDA
Triton
Machine Learning(ML)
GPU Profiling and Optimization
Nice-to-Have Skills
No optional skills specified for this role.
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