Distinguished Engineer, Production Engineering, Data Center Automation

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID etc. Remove boilerplate. We need to parse the posting. Key content: - Intro: 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. Then "What You'll Be Doing" bullet list: - 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 Then "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 Then "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 Then note: 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. Then "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." Then "Applications for this job will be accepted at least until September 7, 2026." (application instruction - we should remove application instructions). Also "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." (EEO boilerplate - remove). Also trailing ", , JR2024978" (job ID) - drop. Thus we need sections: About the role (intro paragraph), Responsibilities (What You'll Be Doing list), Requirements (What We Need To See list), Qualifications? Might be overlapping with Requirements. Could combine? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to decide which sections have content. We have: - About the role: intro paragraph(s) describing role, context. - Responsibilities: What You'll Be Doing list. - Requirements: What We Need To See list (experience, education, etc.) - Qualifications: maybe the "Ways To Stand Out From The Crowd" could be considered Qualifications or Skills? Actually "Ways To Stand Out" are desirable qualifications, could be placed under Qualifications or Skills. The instruction says we can have Skills section. Could put those bullet points under Skills. - Benefits: mention equity and benefits (but not detailed). The posting says "You will also be eligible for equity and benefits." That's vague but it's a statement about benefits. Should we include Benefits section? It says include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Here we have "You will also be eligible for equity and benefits." That's a statement about benefits but not specific details. Is that considered real, specific content? It's somewhat vague but it's a statement that benefits exist. The instruction says avoid filler like "not specified". "Eligible for equity and benefits" is not specifying details but indicates existence. Might be considered real content? I'd lean to include Benefits section with that sentence. - Pay: we have base salary range: 320,000 USD - 488,750 USD. That's specific. So include Pay section. - Schedule: no mention of schedule (full-time, etc). Not present, so omit. Thus sections: About the role, Responsibilities, Requirements, Qualifications (or Skills), Benefits, Pay. We need to decide between Qualifications and Skills. The "Ways To Stand Out" are more like preferred qualifications. Could put under Qualifications. But we already have Requirements for mandatory qualifications. Could have Qualifications for preferred. Or Skills for technical skills. The "Ways To Stand Out" are about having built production operating model, set standards, built automation. Those are more like experience/qualifications. I'd put them under Qualifications (preferred). Or we could have Skills section for those. But we have both Requirements and Qualifications headings allowed. Let's use Requirements for mandatory, Qualifications for preferred (Ways To Stand Out). That seems logical. Now craft HTML. We need

for each section heading. Then content:

for prose,

• for lists. We must not repeat job title. No extra markup. We'll output something like:

  About the role

  ... intro paragraph(s) ...

  Responsibilities

  • ...
  ...

  Requirements

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
  ...

  Qualifications

  • You have developed the production operating model for a large, diverse infrastructure environment spanning multiple platforms or providers
  ...

  Benefits

  You will also be eligible for equity and benefits.

  Pay

  The base salary range is 320,000 USD - 488,750 USD.

  We need to ensure we preserve all substantive information. Let's extract the intro paragraphs precisely. Intro text: "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." We can keep as one or split into paragraphs. Use

  for prose; could be multiple

  but single is fine. Now Responsibilities list: the five bullet points from "What You'll Be Doing". Ensure we keep exact phrasing. List: - 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 Now Requirements list: from "What We Need To See". Keep each bullet. - 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 Now Qualifications list: from "Ways To Stand Out From The