Systems Research Engineer Intern - GPU Programming (Fall 2026)

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

About The Role

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 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. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

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 techniques and technologies

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

Internship Program Details

Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama.

Compensation

We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy