← All roles

Distinguished Engineer, Production Engineering, Data Center Automation

NVIDIA· Distinguished Engineer
Apply on company site
US, CA, Santa Clara, Hybrid (US, NY, Remote), Hybrid (US, SD, Remote), Hybrid (US, CA, Remote), Hybrid (US, WY, Remote)$320k - $488.8kfull-timePosted 1mo ago

About the role

Senior technical leader in Production Engineering focusing on DGX Cloud capacity, Kubernetes service management, and cross-domain production systems across on-prem, hyperscalers, and NeoCloud environments.

Responsibilities

  • Define the long-range technical strategy for operating DGX Cloud clusters consistently across on-prem, hyperscalers, and NeoCloud environments
  • Define the architectural vision and core operational guidelines for cluster lifecycle, runtime delivery, restoration, release readiness, and steady-state operability throughout DGX Cloud resources
  • Guide the roadmap and execution of critical cross-organizational investments that improve production readiness, operational safety, performance, and cross-team coordination
  • Make and guide high-impact technical decisions that resolve how platform, hardware, provider, and service teams coordinate to operate DGX Cloud resources in production
  • Develop robust workflows, interfaces, and engineering collaboration across Kubernetes production service, provider and hardware readiness, on-prem and bare-metal infrastructure operations, and service-layer reliability domains

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
  • 18+ years of experience building and operating large-scale distributed systems, infrastructure platforms, or production environments
  • Confirmed company-level technical leadership at principal, distinguished, or equivalent scope in production engineering, SRE, infrastructure software, or cloud platforms
  • Confirmed experience in establishing operating models, architectural direction, and engineering standards across various technical domains and organizations
  • Consistent record leading large, cross-team technical efforts from concept through production, including aligning collaborators, navigating complexity and delivering measurable outcomes

Skills

Required:Long-range technical strategyCluster lifecycle and runtime deliveryCross-organizational collaboration

Benefits

  • equity
  • benefits (as listed on NVIDIA benefits page)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA