DGX Cloud Production Engineering Lead — Cluster Ops

NVIDIA AI; Eugene (OR); On-site; USD 320,000 - 489,000; Full time

Job summary

NVIDIA seeks a Distinguished Engineer to lead DGX Cloud cluster operations across on‑prem, hyperscalers, and cloud partner environments. You will shape architecture, drive reliability, and build scalable workflows with cross‑team impact.

The role demands deep production engineering expertise, hands‑on coding in Python/Go, and a track record of delivering measurable outcomes at scale. Equity and comprehensive benefits accompany the base salary range.

Qualifications

• 18+ years of experience building and operating large-scale distributed systems
• Proven company-level technical leadership in production engineering or cloud platforms
• Experience leading cross-team technical efforts from concept through production
• Deep experience with Kubernetes-based production systems or distributed systems operations
• Strong software engineering skills in Python or Go
• Deep understanding of distributed systems, Linux, networking, containers and reliability

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, and release readiness
• Guide cross organizational investments to improve production readiness, safety, and performance
• Make high-impact technical decisions to align platform, hardware, provider, and service teams
• Build durable workflows, interfaces, and engineering handshakes across Kubernetes production services
• Restructure operations and service-layer reliability domains
• Drive automation, APIs, and readiness gates to move new capacity into production
• Implement production operating approaches that reduce manual input and improve traceability
• Partner with platform, hardware, and provider teams to remove friction and improve systems
• Raise the engineering bar for operability, resilience, and scalability across cluster operations

Skills

Kubernetes

Infrastructure automation

Distributed systems

Python or Go

Linux/containers

Production leadership

Education

BS/MS/PhD in Computer Science or Electrical Engineering or equivalent

Job description

NVIDIA seeks a Distinguished Engineer to lead DGX Cloud cluster operations across on‑prem, hyperscalers, and cloud partner environments. You will shape architecture, drive reliability, and build scalable workflows with cross‑team impact.

The role demands deep production engineering expertise, hands‑on coding in Python/Go, and a track record of delivering measurable outcomes at scale. Equity and comprehensive benefits accompany the base salary range.