NVIDIA
Technology
SeniorSoftwareArchitect,GPUNetworkingResearch
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Architect, GPU Networking Research at NVIDIA. Skills: GPU Networking, AI Data Centers, System Architecture. Enhance GPU Networking offerings. Lead vision”
Industry & Context.
What They're Looking For.
Must Have
M. Sc. or Ph. D., 8+ years of industry experience, Experienced in virtualization, Experienced in networking, Experienced in storage, Experienced in Windows drivers, Experienced in Linux drivers, Good background of the other OS, Deep understanding of performance profiling, Deep understanding of optimization techniques, Defining HW offloads, Using HW offloads
Nice to Have
Shown research track record, Experience in system architecture, Experience in CPU/GPU/memory/storage/networking, Stellar communication skills, Knowledge in Deep Learning frameworks
What You'll Do.
Enhance GPU Networking offerings
Lead proof-of-concept development
Identify new technologies
Evaluate new technologies
Identify partner relationships
Evaluate partner relationships
Work with maintainers
Drive strategic technologies
Research transport functions
Optimize AI workloads
Lead architectural efforts
Lead development efforts
How You'll Work.
Team & Collaboration
Multi-national corporate environment; Multi-time-zone corporate environment
Communication Scope
Communicate effectively
Full Job Description
NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a principal architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. **What you’ll be doing:** * Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads. * Lead 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 our technology roadmap and business value. * Work with the community and maintainers to drive strategic technologies **What we need to see:** * Hold a 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. * Experienced in virtualization, networking and storage. * Experienced in either Windows or Linux drivers, with a very good background of the other OS. * Deep understanding of performance profiling and optimizatio
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