GPU Systems Research Intern — AI Kernel Optimizer

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

Benefits offered by this job

Competitive compensation

Housing stipends

Other benefits

Job summary

Together AI is seeking a Systems Research Engineer Intern specialized in GPU Programming for Fall 2026. This role involves developing and optimizing GPU-accelerated kernels and collaborating with diverse teams to enhance AI system performance.

Interns will engage in extensive research and gain hands-on experience with industry-leading engineers over a 12 to 16 week program. The position offers a competitive hourly rate of $58 to $63, with additional benefits. This is an exciting opportunity to work with cutting-edge AI technologies.

Qualifications

• Strong background in GPU programming and parallel computing.
• Knowledge of ML/AI applications and models.
• Excellent problem-solving and analytical skills.

Responsibilities

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

Skills

GPU programming

Parallel computing

CUDA

Triton

ML/AI applications

Performance profiling tools

Analytical skills

Tools

Performance optimization tools

Job description

Together AI is seeking a Systems Research Engineer Intern specialized in GPU Programming for Fall 2026. This role involves developing and optimizing GPU-accelerated kernels and collaborating with diverse teams to enhance AI system performance.

Interns will engage in extensive research and gain hands-on experience with industry-leading engineers over a 12 to 16 week program. The position offers a competitive hourly rate of $58 to $63, with additional benefits. This is an exciting opportunity to work with cutting-edge AI technologies.