Systems Research Engineer Intern - GPU Programming (Winter 2027)

Together AI is looking for a Systems Research Engineer Intern with expertise in GPU programming, located in San Francisco. The role involves designing and enhancing GPU-based algorithms to improve the efficiency of AI workloads. Interns will engage with multiple teams to refine hardware and software integration, aiming to push the boundaries of AI system performance. This position offers a chance to contribute to innovative GPU architecture projects and optimize parallel computing techniques.

Candidates should have a solid understanding of GPU development tools like CUDA or Triton, along with a good grasp of machine learning models. Strong analytical skills and experience with performance analysis tools are essential. The internship emphasizes practical application of parallel processing skills to advance AI infrastructure, making it ideal for students or recent graduates eager to deepen their technical expertise in high-performance computing.

This temporary, on-site role runs from January through April, providing competitive pay and housing stipends. Participants will gain valuable exposure to cutting-edge GPU research and development efforts, collaborating with top-tier professionals in the field. The company values diversity and is committed to providing equal employment opportunities, fostering an inclusive environment for all interns.