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

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

6 days ago
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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

C
C++
Python
Bash
Performance

Education

B.S. in Engineering
B.S. in Mathematics
B.S. in Physics
B.S. in Computer Science
M.S. or Ph.D. desired

Tools

Container technology
Linux performance tools
Telemetry pipelines
Visualization pipelines

Job description

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

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