Senior HPC Architect, Automation and At-Scale Deployment

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Health and wellness program

Equity

Job summary

NVIDIA Gruppe in Santa Clara is looking for a Senior HPC Architect to support the deployment of large-scale GPU compute clusters. You will provide engineering solutions for GPU computing products, ensuring technical relationships with teams and assisting in creative solutions based on NVIDIA technology.

The ideal candidate has over 8 years of experience in accelerated computing solutions and strong programming skills in C/C++/Python/Bash. NVIDIA offers a competitive salary and comprehensive benefits package.

Qualifications

• 8+ years of experience using accelerated computing for datacenter/HPC solutions.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• Desire to be involved in multiple diverse and innovative projects.

Responsibilities

• Provide engineering solutions to operationalize GPU computing products.
• Be an internal reference for system administration and analysis.
• Assist engineers in building creative solutions based on NVIDIA technology.

Skills

Accelerated computing experience

C/C++/Python/Bash programming

Strong teamwork and communication skills

Education

BS in Engineering, Mathematics, Physics, or Computer Science

Job description

We are looking for an outstanding hands‑on architect/engineer for a Senior HPC architect role to support deployment and bringup of large‑scale GPU compute clusters. You will be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing.

What you’ll be doing:

• Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assist systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology.
• Be an internal reference for system administration, at‑scale system analysis, and other datacenter and large‑scale GPU‑accelerated system solutions among the NVIDIA technical community.

What we need to see:

• 8+ years of experience using accelerated computing for datacenter/HPC‑based Enterprise computing solutions.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• C/C++/Python/Bash programming/scripting experience.
• Experience working with engineering or academic research community supporting high performance computing or deep learning.
• Experience with parallel filesystems.
• Strong teamwork and communication skills, both verbal and written.
• Ability to multitask effectively in a dynamic environment.
• Action driven with strong analytical skills.
• Desire to be involved in multiple diverse and innovative projects.
• BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable.

Ways to stand out from the crowd:

• Deep Learning framework skills.
• Exposure to using and deploying telemetry and visualization pipelines.
• Exposure to container technology and Linux performance tools.

Benefits and Compensation

Base salary range is 184,000USD – 287,500USD for Level4 and 224,000USD – 356,500USD for Level5. You will also be eligible for equity and benefits. Benefits information is available at https://nvidiabenefits.com/. All employees are eligible for a comprehensive benefits package that includes health and wellness program.

Application Deadline

Applications for this job will be accepted until June1,2026.

Equal Opportunity Employer

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.