Distinguished Engineer, Production Engineering, Data Center Automation

NVIDIA is seeking a Distinguished Engineer to serve as a senior technical leader in its Production Engineering group supporting DGX Cloud GPU capacity. The role defines the technical strategy and architectural direction for operating DGX Cloud clusters across on-premises environments, hyperscalers, and cloud partners, while driving automation, production readiness, reliability, and cross-team engineering coordination.

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

Requirements:

• 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
• You have developed the production operating model for a large, diverse infrastructure environment spanning multiple platforms or providers
• You have set widely recognized operating standards, architectures, APIs, or workflows that increased reliability, operability, or performance at company scale
• You have built automation and engineering interfaces that connect platform teams, infrastructure teams, and service owners into a consistent production system