Systems Research Engineer Intern - GPU Programming (Winter 2027)
San Francisco
Posted 24d ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
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. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. 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. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April.
Responsibilities
- Optimize and fine-tune GPU code for performance and scalability.
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions.
- Stay updated on the latest GPU programming techniques and technologies.
Requirements
- Strong background in GPU programming and parallel computing (e.g., CUDA, Triton).
- Knowledge of ML/AI applications and models.
- Familiarity with GPU programming performance profiling and optimization tools.
- Excellent problem-solving and analytical skills.
Benefits
- Competitive compensation
- Housing stipends