NVIDIA
Senior HPC Architect, Automation and At-Scale Deployment
$184K–$356K
US, CA, Santa Clara +12 · Senior · Full-time · Posted Oct 6, 2026
- Location
- US, CA, Santa Clara
US, TX, Remote
US, CO, Remote
US, WA, Remote
US, CA, Remote
US, Remote
US, AR, Remote
US, NC, Remote
US, IL, Remote
US, OR, Remote
US, UT, Remote
US, NM, Remote
US, MA, Remote - Experience
- 8+ years; no alternatives stated.
- Education
- BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science; MS or PhD desirable.
About the job
Architects, deploys, and brings up large-scale GPU compute clusters, developing system administration and tuning solutions for HPC and accelerated computing workloads.
What you'll do
- Operationalize GPU computing products and software stacks and support engineering teams building solutions with NVIDIA technology.
- Provide expertise in system administration, at-scale system analysis, and datacenter GPU-accelerated systems.
- Architect, develop, and bring up large-scale performance platforms with HPC, OS, GPU compute, and systems specialists.
What they ask for
- 8+ years of experience using accelerated computing for datacenter/HPC-based enterprise computing solutions.
- Understanding of accelerated computing scheduling and I/O stacks; experience with parallel filesystems.
- C/C++/Python/Bash programming or scripting experience.
- BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science.
Nice to have
- Deep Learning framework skills.
- Exposure to telemetry and visualization pipelines, container technology, or Linux performance tools.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
C, C++, Python, Bash, Linux
AI focus
Supports machine learning and deep learning engineers and GPU computing platforms; NVIDIA uses AI tools in its recruiting processes.
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