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Systems Research Engineer Intern - GPU Programming (Fall 2026)

Join Together AI as a Systems Research Engineer Intern to optimize GPU programming for ML/AI applications.

Location
San Francisco
Compensation
$58–$63/hr
Level
intern
Type
internship

Skills & Technologies

ML/AI Triton CUDA Flexible on stack

Benefits

Competitive Compensation Housing stipends

Joblaze summary

The Systems Research Engineer Intern at Together AI focuses on developing and optimizing GPU-accelerated algorithms for machine learning applications, collaborating closely with cross-functional teams. Key skills include expertise in GPU programming, particularly with CUDA or Triton, and a solid understanding of performance optimization tools. This role is ideal for individuals with a strong background in parallel computing and a keen interest in AI technologies. Together AI emphasizes innovation and collaboration, positioning interns to contribute to significant advancements in the field.

Joblaze insights

Quick facts

What's the salary range?
Together AI lists $58–$63 for this role.
What's the tech stack?
Joblaze extracted these technologies from the posting: ML/AI, Triton, CUDA.
What seniority level is this role?
Together AI targets intern candidates for this position.
Is this full-time or contract?
Internship for this Systems Research Engineer Intern - GPU Programming (Fall 2026) role at Together AI.

From the original posting

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

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