NVIDIA
Distinguished Engineer, Production Engineering, Cluster Management
$320K–$489K
US, CA, Santa Clara +1 · Principal · Full-time · Posted Sep 3, 2026
- Location
- US, CA, Santa Clara
US, OR, Remote - Experience
- 18+ years; no alternative stated.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
About the job
Sets technical strategy and operating standards for managing DGX Cloud clusters across on-premises, hyperscaler, and NVIDIA Cloud Partner environments, improving production readiness, reliability, and automation.
What you'll do
- Define cluster-operations architecture, lifecycle standards, and long-term technical strategy across DGX Cloud environments.
- Guide cross-organizational investments and build workflows, APIs, automation, and readiness gates for production capacity.
- Lead technical decisions and collaboration across platform, hardware, provider, and service teams to improve operability and reliability.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 18+ years building and operating large-scale distributed systems, infrastructure platforms, or production environments.
- Company-level technical leadership at principal, distinguished, or equivalent scope in production engineering, SRE, infrastructure software, or cloud platforms.
- Deep experience in at least one of Kubernetes-based production systems, infrastructure automation, or distributed systems operations.
Nice to have
- Established operating standards, architectures, APIs, or workflows that improved reliability, operability, or performance at company scale.
- Experience improving production readiness, restoration, runtime safety, or release quality for large-scale infrastructure.
Pay
320,000 USD - 488,750 USD base salary
Tools
Kubernetes, Python, Go, Linux, networking, containers
Model-written summary · the original posting is authoritative