Senior HPC Architect, Automation and At-Scale Deployment

NVIDIA; California (MO); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Inclusive work environment

Comprehensive benefits

Job summary

NVIDIA is seeking a Senior HPC architect/engineer for deploying and supporting large-scale GPU compute clusters. The candidate will work closely with teams to enable cutting-edge computing hardware and software, contributing to advances in AI and GPU computing.

The ideal applicant has extensive experience in accelerated computing, strong programming skills, and a desire to engage in diverse projects. A competitive salary and equity benefits are offered.

Qualifications

• 8+ years of experience in accelerated computing for datacenter/HPC.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• Experience with parallel filesystems.

Responsibilities

• Provide engineering solutions for GPU computing products.
• Act as an internal reference for system administration.
• Work with teams to develop large-scale performance platforms.

Skills

Accelerated computing experience

C/C++/Python/Bash programming

Strong teamwork and communication skills

Analytical skills

Multitasking ability

Education

BS in Engineering, Mathematics, Physics, or Computer Science

MS or PhD (desirable)

Tools

Deep Learning frameworks

Container technology

Linux performance tools

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 in enabling the most exciting computing hardware and software, contributing to breakthroughs in artificial intelligence and GPU computing. You will work with HPC, OS, GPU compute, and systems specialists to architect, develop and bring up large‑scale performance platforms.

What You’ll Be Doing

• Provide engineering solutions to operationalize the latest GPU computing products and software stacks, ensuring technical relationships with internal and external engineering teams, and assisting systems, machine learning/devops engineers in building creative solutions based on NVIDIA technology.
• Act as an internal reference for system administration, at‑scale system analysis, and other datacenter and large‑scale GPU‑accelerated system solutions within the NVIDIA technical community.

What We Need To See

• 8+ years of experience in accelerated computing for datacenter/HPC‑based enterprise computing solutions.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• Proficiency in C/C++/Python/Bash programming and scripting.
• Experience working with an 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.

Salary: Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is \$184,000 – \$287,500 for Level 4, and \$224,000 – \$356,500 for Level 5.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is a proud equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.