DGX Cloud Production Architect - Cluster Reliability & Automation

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 320,000 - 489,000; Full time

Job summary

NVIDIA is seeking a Distinguished Engineer to lead the production engineering of DGX Cloud clusters across on-prem, hyperscalers, and partner environments. This senior role focuses on architecture, automation, and cross-team collaboration to ensure reliable, scalable GPU infrastructure for researchers and customers.

The ideal candidate has extensive leadership in production engineering, deep Kubernetes expertise, and strong Python/Go software skills.

Qualifications

• 18+ years of experience building and operating large-scale distributed systems, infrastructure platforms, or production environments.
• Leading at principal, distinguished, or equivalent scope in production engineering, SRE, or cloud platforms.
• Proven record defining operating models, architectural direction, and engineering standards across multiple domains.
• Led large, cross-team technical efforts from concept to production with measurable outcomes.
• Deep experience with Kubernetes-based production systems, automation, or distributed operations.
• Strong software engineering in Python or Go and solid understanding of Linux and networking.

Responsibilities

• Define long-range technical strategy for operating DGX Cloud clusters across data centers and hyperscalers.
• Set architectural direction and operating standards for cluster lifecycle, delivery, and steady-state operability.
• Guide cross-organizational investments to improve production readiness, safety, performance, and coordination.
• Make high-impact technical decisions integrating platform, hardware, provider, and service teams.
• Develop workflows and handshakes across Kubernetes production service, on-prem/Bare-metal ops, and reliability domains.
• Advance automation, APIs, and readiness gates to move capacity into production and balance capacity.

Skills

Kubernetes

Python

Go

Distributed systems

Linux

Networking

Containers

Production reliability

Education

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

Job description

NVIDIA is seeking a Distinguished Engineer to lead the production engineering of DGX Cloud clusters across on-prem, hyperscalers, and partner environments. This senior role focuses on architecture, automation, and cross-team collaboration to ensure reliable, scalable GPU infrastructure for researchers and customers.

The ideal candidate has extensive leadership in production engineering, deep Kubernetes expertise, and strong Python/Go software skills.