Systems Research Engineer Intern - GPU Programming (Summer 2027)
Core
Develop and optimize 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
High-performance GPU-accelerated solutions for ML/AI inference and training
Domain
Artificial Intelligence / High-Performance Computing
Deliverable
production ML models
Required skills
GPU programming, parallel computing, CUDA, Triton, ML/AI model knowledge, performance profiling, optimization
Responsibilities
Optimize and fine-tune GPU code for performance and scalability; Integrate GPU-accelerated solutions into existing software systems; Research and apply latest GPU programming techniques
Seniority
Intern
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