GPU Systems Research Intern: Optimize ML Kernels

Together; San Francisco (CA); On-site; USD 80,000 - 96,000; Full time

Benefits offered by this job

Housing stipend

Competitive compensation

Job summary

Together AI, the AI Native Cloud, offers an internship for a Systems Research Engineer Intern focused on GPU programming. You will co-design kernels and model architectures to boost AI system performance and efficiency, collaborating with hardware, software, and modeling teams.

Our program runs 12 to 14 weeks, with internships in May–August or June–September. We provide housing stipends and competitive compensation, reflecting location and role.

Qualifications

• Strong background in GPU programming and parallel computing (CUDA or Triton).
• Knowledge of ML/AI applications and models.
• Familiar with performance profiling and optimization tools for GPUs.
• Excellent problem-solving and analytical skills.

Responsibilities

• Optimize and fine-tune GPU code to improve performance and scalability.
• Collaborate with cross-functional teams to integrate GPU-accelerated solutions into software.
• Stay updated on latest GPU programming techniques and technologies.

Skills

GPU programming

ML/AI knowledge

Parallel computing

Profiling tools

Problem solving

Tools

CUDA

Triton

Job description

Together AI, the AI Native Cloud, offers an internship for a Systems Research Engineer Intern focused on GPU programming. You will co-design kernels and model architectures to boost AI system performance and efficiency, collaborating with hardware, software, and modeling teams.

Our program runs 12 to 14 weeks, with internships in May–August or June–September. We provide housing stipends and competitive compensation, reflecting location and role.