Senior Software Architect, GPU Networking Research

Stack

Responsibilities

• ▹Enhance NVIDIA's future GPU networking offerings for accelerating AI workloads
• ▹Lead the vision, architecture and design of such technologies
• ▹Lead proof-of-concept development to evaluate and drive such technologies
• ▹Identify and evaluate new technologies, innovations and partner relationships for alignment with the technology roadmap and business value
• ▹Work with the community and maintainers to drive strategic technologies
• ▹Research new transport functions and semantics for optimizing AI workloads
• ▹Lead architectural and development efforts across modern data center fields: distributed AI and deep learning, data analytics, HPC, SDN, virtualization, storage

Requirements

• ▹M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience)
• ▹8+ years of industry experience (or equivalent) in systems architecture or related fields
• ▹Experience in virtualization, networking and storage
• ▹Experience in either Windows or Linux drivers, with a very good background of the other OS
• ▹Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads
• ▹A teammate with a can-do attitude, high energy and excellent interpersonal skills
• ▹Ability to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Nice to have

• ▹Research track record
• ▹Experience and passion for system architecture, CPU/GPU/memory/storage/networking
• ▹Stellar communication skills
• ▹Knowledge of deep learning frameworks

Soft skills

About the company

NVIDIA has been defining computer graphics, PC gaming and accelerated computing for more than 25 years.