Distinguished Engineer, Production Engineering, Data Center Automation

NVIDIA

Distinguished Engineer defining production architecture and automation for NVIDIA’s DGX Cloud GPU infrastructure. Leading cross-team reliability, lifecycle, and operational standards at scale.

Posted 9/2/2026full-timeRemote • California, New York, South Dakota, Wyoming • 🇺🇸 United StatesSeniorLead💰 $320,000 - $488,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in defining architectural direction and operational guidelines for large-scale distributed systems, particularly in DGX Cloud environments. Proven ability to lead cross-organizational technical efforts, ensuring production readiness and operational excellence.

Highest-signal resume keywords

Technical LeadershipKubernetes Service ManagementLarge-Scale Distributed SystemsInfrastructure OperationsAutomation and Workflow Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSystem KnowledgeProduction InsightArchitectural DirectionOperating ModelsEngineering StandardsAPIs DevelopmentInfrastructure PlatformsProduction EnvironmentsCloud Platforms

Soft Skills

Cross-Team CoordinationInfluential LeadershipComplex Problem SolvingCollaboration

Tools & Technologies

DGX CloudOn-Premises InfrastructureHyperscaler EnvironmentsNeoCloudBare-Metal Infrastructure

Certifications & Qualifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceEquivalent Experience

Industry Keywords

Production EngineeringSite Reliability Engineering (SRE)Infrastructure SoftwareCloud Platforms

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

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 resolving 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
Act as a senior technical leader in the Production Engineering group
Build the architectural direction for cluster operations in DGX Cloud
Set operating standards and direct the evolution of the production model
Drive delivery of cross-organizational capabilities ensuring DGX Cloud resources remain usable, maintainable, and continuously improved at scale
Lead by influence across several teams and critical production results

Requirements

What you’ll need

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
Deep software engineering expertise, system knowledge, and production insight
Experience with Kubernetes service management
Experience with on-premises, hyperscaler, NeoCloud, and bare-metal infrastructure operations
Experience developing automation, workflows, interfaces, APIs, architectures, or operating standards for large-scale infrastructure environments

Benefits

Comp & perks

Equity
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