Systems Research Engineer, Gpu Programming

Togetherai

San Francisco, United States
$160,000 - $230,000 py
On-site
Gpu programming
Parallel computing
Cuda and/or triton
As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications

Job Summary

  • As a Systems Research Engineer 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.

Matching Summary

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications.

Salary

$160,000 - $230,000

Skills & Requirements

Must-have

  • GPU programming
  • parallel computing
  • CUDA and/or Triton
  • ML/AI applications and models
  • performance profiling and optimization

Nice-to-have

  • co-design GPU kernels
  • model architecture enhancement
  • staying up-to-date with advancements

Key Requirements

  • Bachelor's, Master's, or Ph.D. degree
  • equivalent practical experiences

Work Rights

Not specified

Tailored Resume

Cover Letter