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Senior Technical Program Manager, Cloud Infrastructure

NVIDIA
California, USA
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 days ago

Full Job Posting

Ways to stand out from the crowd:

In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and high-performance computing (HPC) infrastructure bring-up. Direct experience managing dependencies between pioneering AI software stacks, foundational physical infrastructure and Infrastructure services like high performance storage..

Experience working with accelerated deployment schedules (e.g., rapid 30-day data center rollouts) and asset-backed operational models.

Prior background establishing automated server benchmarking, burn-in execution, and infrastructure health validation workflows.

Familiarity with cloud-native architectures, managed-Kubernetes platform layers, and distributed systems.

Significant experience with AI tools, process automation,, and establishing standard operating guidelines across many technical domains.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an 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.

Qualifications

  • Familiarity with cloud-native architectures, managed-Kubernetes platform layers, and distributed systems.

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