Systems Research Engineer Intern - GPU Programming (Summer 2027)

Together AI is seeking a Systems Research Engineer Intern with expertise in GPU programming to join their research team during the summer of 2027. The role involves developing and optimizing GPU-accelerated algorithms for AI and machine learning applications, working closely with modeling and hardware teams to improve system performance and efficiency. The intern will contribute to co-designing GPU architectures and programming models, staying current with the latest GPU techniques.

The ideal candidate will have a strong background in CUDA or Triton, along with knowledge of ML/AI models and performance profiling tools. They should possess excellent problem-solving skills and be comfortable collaborating across teams to integrate GPU solutions into existing systems. The internship offers a 12-14 week program, with competitive pay, housing stipends, and the chance to work alongside leading engineers and researchers.

This internship is remote or onsite in San Francisco, and it is a contract role suitable for students or early-career professionals seeking hands-on experience in GPU programming within an innovative AI company. The company specializes in high-performance inference, model training, and AI infrastructure, serving major clients and processing vast amounts of data monthly.