Systems Research Engineer, GPU Programming
Core
Developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications, co-designing GPU kernels and model architecture to enhance performance and efficiency.
Role type
Systems Research Engineer (GPU Programming)
Builds
GPU-accelerated solutions for AI infrastructure
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, knowledge of performance profiling and optimization tools for GPU programming
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
Individual Contributor
