Systems Research Engineer Intern- GPU Programming (Summer 2026)

Who you are

As a Systems Research Engineer Intern, you are eager to dive into the world of GPU programming and contribute to cutting-edge AI research. You have a foundational understanding of GPU programming and parallel computing, and you are excited to apply your skills in a collaborative environment. You are passionate about optimizing algorithms and enhancing the performance of AI systems, and you stay informed about the latest advancements in GPU technologies. Your ability to work well in cross-functional teams will be essential as you collaborate with hardware and software engineers to co-design efficient GPU architectures.

You are a quick learner who thrives in a research-driven environment. You have a strong interest in machine learning and artificial intelligence, and you are motivated to contribute to projects that aim to lower the cost of modern AI systems. You understand the importance of open and transparent AI systems and are committed to driving innovation in this field. Your research skills will be vital in ensuring that Together AI remains at the forefront of GPU programming techniques.

Desirable

While not required, familiarity with machine learning frameworks and libraries will be beneficial. Experience with optimizing GPU code for performance and scalability is a plus. You may also have exposure to collaborative projects that involve integrating GPU-accelerated solutions into existing software systems.

What you'll do

In this role, you will be responsible for developing and optimizing GPU-accelerated kernels and algorithms specifically for machine learning and AI applications. You will work closely with the modeling and algorithm team to co-design GPU kernels that enhance the performance and efficiency of our AI systems. Your contributions will involve optimizing and fine-tuning GPU code to achieve better performance and scalability, ensuring that our AI infrastructure can handle complex tasks efficiently.

You will collaborate with cross-functional teams, including hardware and software engineers, to integrate GPU-accelerated solutions into existing software systems. This collaboration will require you to communicate effectively and share insights on the latest advancements in GPU programming techniques. You will also have the opportunity to contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise to drive innovation.

Staying up-to-date with the latest advancements in GPU programming will be a key part of your responsibilities. You will engage in research activities that explore new techniques and methodologies, ensuring that Together AI's infrastructure remains competitive and cutting-edge. Your role will involve a mix of hands-on coding, research, and collaboration, providing you with a comprehensive experience in the field of AI and GPU programming.

What we offer

Together AI offers a dynamic and inclusive work environment where you can grow your skills and contribute to meaningful projects. As an intern, you will have the chance to work alongside experienced professionals who are passionate about advancing AI technology. You will gain valuable insights into the research-driven approach of the company and have the opportunity to make a real impact on the development of AI systems.

We encourage you to apply even if your experience doesn't match every requirement. Together AI values diverse perspectives and is committed to fostering an inclusive workplace. Join us in our mission to create open and transparent AI systems that drive innovation and benefit society.