Jobs › Companies › NVIDIA › Distinguished Engineer, Production Engineering, Data Center Automation

Über diese Distinguished Engineer, Production Engineering, Data Center Automation Stelle bei NVIDIA

NVIDIA · Vor Ort · US, CA, Santa Clara

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

Additional Job Description Mentorship

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.

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 6, 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.

Bereit, sich bei NVIDIA zu bewerben?
Bei NVIDIA bewerben

Über NVIDIA

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA .

Alle Jobs bei NVIDIA ansehen →

Ähnliche Jobs

NVIDIA
Principal Software Engineer – Infrastructure
NVIDIA
⚡ Früh bewerben US, CA, Santa Clara Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 5 Tg.
NVIDIA
Principal System Software Engineer - CUDA Driver
NVIDIA
⚡ Früh bewerben US, CA, Santa Clara Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
NVIDIA
Principal AI and ML Infra Software Engineer, GPU Clusters
NVIDIA
⚡ Früh bewerben US, CA, Santa Clara Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Marvell
Principal Engineer, Thermo-Mechanical
Marvell
⚡ Früh bewerben US-CA - Santa Clara Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Marvell
Principal Product Engineer, Optics
Marvell
⚡ Früh bewerben Santa Clara, CA Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Mon.
Pragmatike
Principal Software Engineer (YC Experience)
Pragmatike
⚡ Früh bewerben San Francisco Vor Ort $200,000–$400,000
● Neu 👁 Gesehen ✓ Beworben vor 5 Std.
Pragmatike
Principal Founding Product Engineer
Pragmatike
⚡ Früh bewerben San Francisco · standortgebunden $200,000–$400,000
● Neu 👁 Gesehen ✓ Beworben vor 5 Std.
Pragmatike
Principal Founding Product Engineer
Pragmatike
⚡ Früh bewerben San Francisco · standortgebunden $200,000–$400,000
● Neu 👁 Gesehen ✓ Beworben vor 5 Std.
Commonwealth Bank of Australia
Principal Software Engineer - Institutional Lending, Pricing and ESG
Commonwealth Bank of Australia
⚡ Früh bewerben Sydney CBD Area Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei NVIDIA

Alle Jobs bei NVIDIA ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos