TA
$200,000 – $300,000
Listed on Together AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A research engineering role focused on developing and optimizing GPU kernels for machine learning applications, requiring deep expertise in parallel computing and CUDA/Triton. This suits experienced systems engineers who want to drive performance innovations at the intersection of GPU architecture and AI infrastructure.
Our summary, not Together AI’s wording. The full posting is on their site.
What they ask for
Required
- Strong background in GPU programming and parallel computing (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
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experience