Senior Distinguished Engineer, DGX Cloud Cluster Ops

Socket.dev

Santa Clara (CA)

Hybrid

USD 320,000 - 489,000

Full time

8 days ago
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Job summary

NVIDIA seeks a Distinguished Engineer to lead the Production Engineering organization, focusing on DGX Cloud cluster operations. You will guide architectural direction across on-prem, hyperscalers, and partner environments, driving reliability, automation, and scalable production practices.

The role blends software and systems engineering with strong leadership, owning standards, and cross-team collaboration to ensure DGX Cloud capacity remains usable and upgradeable at scale.

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
  • Consistent track record of defining operating models, architectural direction, and engineering standards across multiple technical domains and organizations
  • Consistent record leading large, cross-team technical efforts from concept through production, including aligning collaborators, navigating for clarity and delivering measurable outcomes
  • Deep experience with Kubernetes-based production systems, infrastructure automation, or distributed systems operations
  • Strong software engineering skills in Python, Go, or similar low-level programming languages
  • Deep understanding of distributed systems, Linux, networking, containers, and production reliability concerns
  • Experience crafting operational workflows, APIs, service interfaces, or automation frameworks that become standard
  • Strong architectural judgment and history of simplifying complex operational problems through reusable software, clear technical strategy, and durable engineering direction

Responsibilities

  • Define the long-range technical strategy for operating DGX Cloud clusters across data centers, hyperscalers, and NeoCloud environments
  • Define architectural direction and operating standards for cluster lifecycle, runtime delivery, restoration, release readiness, and steady-state operability for DGX Cloud capacity
  • Guide the roadmap and execution of cross-organizational investments to improve production readiness, operational safety, performance, and coordination
  • Make and influence high-impact technical decisions that align platform, hardware, provider, and service teams for production operations
  • Build durable workflows, interfaces, and engineering handshakes across Kubernetes production service, provider/hardware prep, on-prem and bare-metal
  • Restructure operations and service-layer reliability domains
  • Build and evolve automation, APIs, operating workflows, and readiness gates to move new capacity into production
  • Implement production operating approaches that reduce manual input, define ownership, and increase release safety across DGX Cloud
  • Partner with platform teams, hardware/provider engineers, and other Production Engineering leaders to convert friction into durable improvements
  • Raise engineering bar for operability, resilience, scalability, and performance through leadership, architecture reviews, and standards

Skills

Kubernetes
Infrastructure automation
Distributed systems operations
Python
Go
Linux
Networking
Containers
Production reliability
Architectural leadership

Education

BS/MS/PhD in CS/EE or related field

Job description

NVIDIA seeks a Distinguished Engineer to lead the Production Engineering organization, focusing on DGX Cloud cluster operations. You will guide architectural direction across on-prem, hyperscalers, and partner environments, driving reliability, automation, and scalable production practices.

The role blends software and systems engineering with strong leadership, owning standards, and cross-team collaboration to ensure DGX Cloud capacity remains usable and upgradeable at scale.

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