Systems Research Engineer Intern
Together AI
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Data structures & algorithmsMachine learning
- Work
- On-site in San Francisco · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning18%Data structures & algorithms10%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 1, 2026 · still open
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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.
Key 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 & Tech Stack
- 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
- Internship dates span either May 17th to August 6th or June 14th to September 3rd.
- Program duration is 12 to 14 weeks.