Systems Research Engineer Intern - GPU Programming

Together AI · AI/ML/Data

Location: San Francisco, CA
Metro: San Francisco Bay Area
Workplace: On-site
Level: Intern
Type: Internship
Pay: $58–$70/hr (estimated from posting text)
Posted: 1 month ago
Source: Simplify internships list

What the posting covers

Role Overview

As a Systems Research Engineer Intern 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…

Responsibilities

Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming…

Requirements

Strong background in GPU programming and parallel computing, such as 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

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at…

Compensation

We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by…

Excerpts only. The employer’s page has the complete posting.