Senior HPC Architect: Large-Scale GPU AI Infra (Equity)

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 184 000 - 357 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Comprehensive benefits

Resumo da oferta

NVIDIA Corporation is seeking a Senior HPC Architect in California to lead the deployment and bring‑up of large‑scale GPU compute clusters. You will collaborate with internal and external engineering teams to operationalize NVIDIA GPU computing products and software stacks, serving as a reference for data‑center scale analysis and performance platforms.

The role emphasizes deep expertise in HPC, C/C++, Python, and Linux tools, with the opportunity to influence AI and GPU breakthroughs across

Qualificações

• 8+ years in accelerated computing for datacenter/HPC‑based solutions.
• Strong knowledge of HPC scheduling and I/O stacks.
• Proficient in C, C++, Python, and Bash scripting.
• Experience with deep learning/ML communities and large-scale GPU stacks.
• Familiarity with parallel file systems and Linux performance tooling.

Responsabilidades

• Engineer solutions to operationalize NVIDIA GPU computing products and software stacks.
• Collaborate with internal/external teams and ML engineers to build NVIDIA-based solutions.
• Serve as an internal reference for system administration and data‑center analysis.
• Architect and deploy large‑scale performance platforms with cross‑team collaboration.

Conhecimentos

C

C++

Python

Bash

Performance

Formação académica

B.S. in Engineering

B.S. in Mathematics

B.S. in Physics

B.S. in Computer Science

M.S. or Ph.D. desired

Ferramentas

Container technology

Linux performance tools

Telemetry pipelines

Visualization pipelines

Descrição da oferta de emprego

NVIDIA Corporation is seeking a Senior HPC Architect in California to lead the deployment and bring‑up of large‑scale GPU compute clusters. You will collaborate with internal and external engineering teams to operationalize NVIDIA GPU computing products and software stacks, serving as a reference for data‑center scale analysis and performance platforms.

The role emphasizes deep expertise in HPC, C/C++, Python, and Linux tools, with the opportunity to influence AI and GPU breakthroughs across