NVIDIA
AI / ML Computing, High-Performance Computing (HPC)
SeniorNetworkingPerformancesArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Networking Performances Architect at NVIDIA. Skills: Networking Performances Architecture, High-Performance Computing (HPC), ML / AI Computing, Network behavior modeling, Simulation, Performance analysis. Analyse the performances of novel network features and their impact on running AI workloads on the next large-scale, high-performance computing (HPC) clusters. Develop network behaviour models for simulations and performance analysis”
What You'll Achieve.
Remain state of the art for AI
Industry & Context.
Possess problem solving and critical thinking skills; Solving complicated challenges
What They're Looking For.
Must Have
B. Sc. , M. Sc. , or Ph. D. degree in Computer Science, Computer Engineer, or Electrical Engineer, 5+ years of system engineering, system architecture or performance research experience, Deep understanding of complex system behaviour, Possess problem solving and critical thinking skills, Ability to work and operate in a highly dynamic environment, be a team player and collaborate with multiple groups in the organization, Good knowledge in Python
Nice to Have
Experience in development of simulation environments, Understanding of large-scale networks behaviour and the effect of distributed computing workloads on the network, Understanding of network protocols (InfiniBand, IP, TCP, RoCE), Good knowledge of AI models
What You'll Do.
Analyse the performances of novel network features and their impact on running AI workloads on the next large-scale
high-performance computing (HPC) clusters
Develop network behaviour models for simulations and performance analysis
Prioritize future networking features development
Generate insights that focus out new generations of products to remain state of the art for AI
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams, including deep learning, simulation, architecture, and research; Collaborate with multiple groups in the organization
Full Job Description
Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art accelerated compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest paced computer users in the world - scientists, designers, artists, and gamers. We are seeking a highly motivated architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As an architect at NVIDIA, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world. **What you’ll be doing:** * Analyse the performances of novel network features and their impact on running AI workloads on the next large-scale, high-performance computing (HPC) clusters. * Develop network behaviour models for simulations and performance analysis and prioritize future networking features development. * Generate insights that focus out new generations of products to remain state of the art for AI * Collaborate with cross-functional teams, including deep learning, simulation, architecture, and research. * Become an expert in AI networking on high-performance computing **What we need to see:** * B.Sc., M.Sc., or Ph.D. degree in Computer Science, Computer Engineer, or Electrical Engineer. * 5+ years of system engineering, system architecture or performance research experience. * Deep understanding of complex system behaviour * Possess strong problem solving and critical thinking skills. * Ability to work and operate in a high
Applying for this Senior Networking Performances Architect role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.