Distinguished Engineer, Production Engineering, Data Center Automation

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Establish the long-term technical strategy for the consistent operation of DGX Cloud clusters across on-premises, hyperscalers, and NeoCloud environments.

• Define the architectural vision and essential operational guidelines for the lifecycle of clusters, runtime delivery, restoration, release readiness, and ongoing operability of DGX Cloud resources.

• Lead the roadmap and implementation of key cross-organizational investments that enhance production readiness, operational safety, performance, and collaboration across teams.

• Make and guide significant technical decisions regarding the coordination of platform, hardware, provider, and service teams in the operation of DGX Cloud resources in a production setting.

• Create robust workflows, interfaces, and foster engineering collaboration across Kubernetes production services, provider and hardware readiness, on-premises and bare-metal infrastructure operations, as well as service-layer reliability domains.

• Serve as a senior technical leader within the Production Engineering team.

• Establish the architectural vision for cluster operations in DGX Cloud.

• Set operational standards and oversee the evolution of the production model.

• Drive the delivery of cross-organizational capabilities to ensure DGX Cloud resources remain usable, maintainable, and continuously scalable.

• Lead by influence across multiple teams to achieve critical production outcomes.

⛳️ Requirements

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

• Over 18 years of experience in building and managing large-scale distributed systems, infrastructure platforms, or production environments.

• Proven company-level technical leadership at a principal, distinguished, or equivalent level in production engineering, SRE, infrastructure software, or cloud platforms.

• Demonstrated experience in developing operating models, architectural direction, and engineering standards across diverse technical domains and organizations.

• A strong track record of leading extensive, cross-team technical initiatives from conception to production, including aligning collaborators, managing complexities, and delivering measurable results.

• In-depth expertise in software engineering, system knowledge, and production insights.

• Familiarity with Kubernetes service management.

• Experience with on-premises, hyperscaler, NeoCloud, and bare-metal infrastructure operations.

• Proven ability to develop automation, workflows, interfaces, APIs, architectures, or operating standards for large-scale infrastructure environments.

🏝️ Benefits

• Equity

• Benefits