below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$167,600–$253,500
— the blue band above.
At the midpoint, this role pays about
$404k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Distinguished Engineer, Production Engineering, Data Center Automation joins the Production Engineering group to serve as a senior technical leader for cluster operations involving DGX Cloud GPU capacity. This role involves defining the long-range technical strategy and architectural vision for operating clusters across on-premises, hyperscalers, and NeoCloud environments. Key responsibilities include developing robust workflows for Kubernetes production services, hardware readiness, and bare-metal infrastructure operations to ensure service reliability and steady-state operability. The position requires building engineering interfaces that connect platform, infrastructure, and service teams into a cohesive production system. The candidate must leverage extensive experience in distributed systems, infrastructure platforms, and production engineering to solve complex problems regarding cluster lifecycle, runtime delivery, restoration, and release readiness for large-scale GPU infrastructure.
Define the long-range technical strategy for operating DGX Cloud clusters across on-premises, hyperscaler, and NeoCloud environments.
Establish the architectural vision and operational guidelines for cluster lifecycle, runtime delivery, and steady-state operability.
Guide the roadmap and execution of cross-organizational investments to improve production readiness and operational safety.
Make high-impact technical decisions to coordinate platform, hardware, and provider teams in operating production resources.
Develop robust workflows and interfaces for Kubernetes production services, bare-metal infrastructure, and service-layer reliability.
Drive the delivery of cross-organizational capabilities to ensure DGX Cloud resources remain usable and maintainable at scale.
Set operating standards and engineering directions to improve reliability and performance across diverse infrastructure environments.
What we're looking for
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 and delivering measurable outcomes.
Experience developing the production operating model for a large, diverse infrastructure environment spanning multiple platforms or providers (preferred).
Experience setting widely recognized operating standards, architectures, APIs, or workflows that increased reliability, operability, or performance at company scale (preferred).
Experience building automation and engineering interfaces that connect platform teams, infrastructure teams, and service owners into a consistent production system (preferred).