Systems Research Engineer Intern - GPU Programming (Fall 2026)
Core
Developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications, co-designing GPU kernels and model architecture to enhance AI system performance and efficiency.
Role type
Systems Research Engineer Intern (GPU Programming)
Builds
GPU-accelerated solutions for ML/AI systems
Domain
Artificial Intelligence / High-Performance Computing
Deliverable
production ML models
Required skills
GPU programming, parallel computing, CUDA, Triton, performance profiling, optimization
Preferred skills
Knowledge of ML/AI applications and models
Technologies
CUDA, Triton
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
Seniority
Intern
