Job description

NVIDIA is looking for a Distinguished Engineer to act as a senior technical leader in the Production Engineering group, enthusiastic about cluster operations involving DGX Cloud GPU capacity. At NVIDIA, Production Engineering is responsible for ensuring large-scale production systems are reliable, straightforward to lead, and increasingly automated across NVIDIA's DGX Cloud resources. We combine software engineering, systems engineering, and extensive production knowledge to build platforms, workflows, and operational frameworks that sustain GPU infrastructure health, scalability, and availability for researchers and customers. This role centers on the operational framework supporting DGX Cloud environments spanning on-premises, major cloud providers, and NVIDIA Cloud Partner locations. The responsibilities include engineering integrations to guarantee DGX Cloud capacity is fully operational in production. This involves Kubernetes service management, ensuring vendor and equipment availability, on-prem infrastructure operations, release and runtime preparation, and service reliability coordination. The workflows tie these elements into a cohesive production system. This hands-on Distinguished Engineer role calls for a deeply technical leader to build the architectural direction for cluster operations in DGX Cloud. The ideal candidate will blend software engineering expertise, system knowledge, and production insight to define technical strategy, set operating standards, direct the evolution of the production model, and drive delivery of cross-organizational capabilities. These capabilities ensure that the DGX Cloud resources remain usable, maintainable, and improve continuously at scale. The position demands both deep invention and implementation skills and the ability to lead by influence across several teams and critical production results. What you'll be doing: • Define the long-range technical strategy for operating DGX Cloud clusters consistently across on-prem, hyperscalers, and NeoCloud environments • Define the architectural vision and core operational guidelines for cluster lifecycle, runtime delivery, restoration, release readiness, and steady-state operability throughout DGX Cloud resources • Guide the roadmap and execution of critical cross-organizational investments that improve production readiness, operational safety, performance, and cross-team coordination • Make and guide high-impact technical decisions that resolve how platform, hardware, provider, and service teams coordinate to operate DGX Cloud resources in production • Develop robust workflows, interfaces, and engineering collaboration across Kubernetes production service, provider and hardware readiness, on-prem and bare-metal infrastructure operations, and service-layer reliability domains What we need to see: • 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, navigating complexity and delivering measurable outcomes Ways to stand out from the crowd: • You have developed the production operating model for a large, diverse infrastructure environment spanning multiple platforms or providers • You have set widely recognized operating standards, architectures, APIs, or workflows that increased reliability, operability, or performance at company scale • You have built automation and engineering interfaces that connect platform teams, infrastructure teams, and service owners into a consistent production system This role is specifically dedicated to the cross-domain production operating model for DGX Cloud capacity. It does not include the shared platform-software role for common automation services. Success relies on ensuring the wider DGX Cloud cluster estate functions optimally in production with proven technical leadership, consistent workflows, defined boundaries, and effective cross-team engineering collaboration. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Define the long-range technical strategy for operating DGX Cloud clusters consistently across on-prem, hyperscalers, and NeoCloud environments
Define the architectural vision and core operational guidelines for cluster lifecycle, runtime delivery, restoration, release readiness, and steady-state operability throughout DGX Cloud resources
Guide the roadmap and execution of critical cross-organizational investments that improve production readiness, operational safety, performance, and cross-team coordination
Make and guide high-impact technical decisions that resolve how platform, hardware, provider, and service teams coordinate to operate DGX Cloud resources in production
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, navigating complexity and delivering measurable outcomes
You have developed the production operating model for a large, diverse infrastructure environment spanning multiple platforms or providers
You have set widely recognized operating standards, architectures, APIs, or workflows that increased reliability, operability, or performance at company scale
You have built automation and engineering interfaces that connect platform teams, infrastructure teams, and service owners into a consistent production system
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesai

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision