Senior HPC Architect, Automation and At-Scale Deployment

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

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

Senior HPC Architect role to support deployment and bring‑up of large‑scale GPU compute clusters. Key player enabling cutting‑edge computing hardware and software, contributing to AI and GPU breakthroughs.

Responsibilities

• Engineer solutions to operationalize NVIDIA GPU Computing products and software stacks.
• Collaborate with internal and external engineering teams and system, machine learning/deep‑learning engineers to build creative solutions based on NVIDIA technology.
• Serve as an internal reference for system administration, at‑scale system analysis, and data‑center and GPU‑accelerated solutions across the NVIDIA technical community.
• Architect, develop, and bring up large‑scale performance platforms in collaboration with HPC, OS, GPU compute, and specialist teams.

Qualifications

• 8+ years of experience in accelerated computing for datacenter/HPC‑based enterprise solutions.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• Proficiency in C, C++, Python, and Bash programming/scripting.
• Experience supporting high‑performance computing or deep learning research communities.
• Experience with parallel file systems.
• Strong teamwork, communication, multitasking, and analytical skills.
• B.S. in Engineering, Mathematics, Physics, or Computer Science (M.S. or Ph.D. desired).
• Desire to work on diverse and innovative projects.

Differentiators

• Deep learning framework skills.
• Exposure to telemetry and visualization pipelines.
• Experience with container technology and Linux performance tools.

Compensation and Benefits

Base salary ranges from $184,000 to $287,500 for Level 4 and $224,000 to $356,500 for Level 5. Eligible for equity and comprehensive benefits. Visit https://www.nvidiabenefits.com/ for more information.

EEO Statement

NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Applications will be accepted until June 11, 2026.