Senior HPC Architect, Automation and At-Scale Deployment

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Bash @ 4 Communication @ 7 Deep Learning @ 4 GPU HPC @ 7 Linux @ 6 Machine Learning Mathematics @ 4 Python @ 4 System Administration

Details

NVIDIA is seeking a hands-on architect/engineer to support the deployment and bring-up of large-scale GPU compute clusters. The role will help operationalize accelerated computing hardware and software, implement at-scale system administration and tuning mechanisms, and develop improved workflows and differentiated solutions for artificial intelligence, GPU computing, and high-performance computing environments. You will collaborate with HPC, operating system, GPU compute, and systems specialists, as well as scientific researchers, developers, and customers.

Responsibilities

Provide engineering solutions to operationalize the latest GPU computing products and software stacks.
Maintain technical relationships with internal and external engineering teams.
Assist systems, machine learning, and deep learning engineers in building solutions based on NVIDIA technology.
Serve as an internal reference for system administration, at-scale system analysis, datacenter solutions, and large-scale GPU-accelerated systems.
Architect, develop, and bring up large-scale performance platforms.

Requirements

8+ years of experience using accelerated computing for datacenter or HPC-based enterprise computing solutions.
Solid understanding of accelerated computing scheduling and I/O stacks.
Experience programming or scripting with C, C++, Python, and Bash.
Experience supporting high-performance computing or deep learning within engineering or academic research communities.
Experience with parallel filesystems.
Strong verbal and written teamwork and communication skills.
Ability to multitask effectively in a dynamic environment.
Strong analytical skills and an action-oriented approach.
Desire to participate in multiple diverse and innovative projects.
Bachelor's degree, or equivalent experience, in Engineering, Mathematics, Physics, or Computer Science. A master's degree or PhD is desirable.

Preferred Qualifications

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

Benefits

Competitive salary.
Equity eligibility.
Comprehensive benefits package.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until August 3, 2026. This posting is for an existing vacancy.