Key skills
PythonC++CAIDeep LearningCommunication
About this role
Role Overview
- Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads
- Design and prototype features and optimizations that accelerate data movement
- Identify and evaluate new technologies, innovations and partner relationships
- Develop and evaluate innovative features with respect to runtime systems, communication libraries
Requirements
- Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience)
- 5+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads
- Experienced in algorithm design, system programming, computer architecture and operating systems
- Experienced in virtualization, networking and storage
- Deep understanding of performance profiling and optimization techniques, together with defining and using hardware features
- Strong programming background in C++, Python, and ideally CUDA or other GPU programming models
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment
Tech Stack
- Python
Benefits
- NVIDIA is committed to fostering a diverse work environment
- Equal opportunity employer