Distinguished Engineer, Production Engineering, Data Center Automation

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🗿 South Dakota – Remote 🦬 Wyoming – Remote

💵 $320k - $488.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🏭 Production Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 resolving 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 • Act as a senior technical leader in the Production Engineering group • Build the architectural direction for cluster operations in DGX Cloud • Set operating standards and direct the evolution of the production model • Drive delivery of cross-organizational capabilities ensuring DGX Cloud resources remain usable, maintainable, and continuously improved at scale • Lead by influence across several teams and critical production results

🎯 Requirements

• 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 • Deep software engineering expertise, system knowledge, and production insight • Experience with Kubernetes service management • Experience with on-premises, hyperscaler, NeoCloud, and bare-metal infrastructure operations • Experience developing automation, workflows, interfaces, APIs, architectures, or operating standards for large-scale infrastructure environments

🏖️ Benefits

• Equity • Benefits