GPU Systems Research Intern: Kernel Optimization & AI

Togetherai; San Francisco (CA); On-site; USD 79,900 - 86,788; Full time

Benefits offered by this job

Competitive compensation

Housing stipends

Opportunity to work with industry-leading engineers

Job summary

Togetherai is seeking a Systems Research Engineer Intern specializing in GPU Programming in San Francisco, California. In this role, you will develop and optimize GPU-accelerated kernels for ML/AI applications while collaborating with cross-functional teams. Your expertise in GPU programming will help enhance AI performance and efficiency.

This fall internship spans 12 to 16 weeks, offering competitive compensation and housing stipends. Join us to work at the forefront of AI innovation!

Qualifications

• Strong background in GPU programming and parallel computing.
• Knowledge of ML/AI applications and models.
• Experience with performance profiling and optimization tools.

Responsibilities

• Optimize and fine-tune GPU code for better performance.
• Collaborate with teams to integrate GPU solutions.
• Stay updated on advancements in GPU programming.

Skills

GPU programming

Parallel computing

CUDA

Triton

ML/AI applications

Performance profiling and optimization

Problem-solving

Analytical skills

Job description

Togetherai is seeking a Systems Research Engineer Intern specializing in GPU Programming in San Francisco, California. In this role, you will develop and optimize GPU-accelerated kernels for ML/AI applications while collaborating with cross-functional teams. Your expertise in GPU programming will help enhance AI performance and efficiency.

This fall internship spans 12 to 16 weeks, offering competitive compensation and housing stipends. Join us to work at the forefront of AI innovation!