Distinguished Engineer, Production Engineering, Data Center Automation

Details

NVIDIA is looking for a Distinguished Engineer to act as a senior technical leader in the Production Engineering group, focused on cluster operations involving DGX Cloud GPU capacity.

Production Engineering is responsible for ensuring large-scale production systems are reliable, straightforward to operate, and increasingly automated across NVIDIA's DGX Cloud resources. The team combines 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 infrastructure, major cloud providers, and NVIDIA Cloud Partner locations. Responsibilities include engineering integrations to guarantee DGX Cloud capacity is fully operational in production, including Kubernetes service management, vendor and equipment availability, on-premises infrastructure operations, release and runtime preparation, and service reliability coordination.

The hands-on Distinguished Engineer will build the architectural direction for cluster operations in DGX Cloud. The ideal candidate will combine software engineering expertise, systems 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. The position requires deep invention and implementation skills, as well as the ability to lead by influence across multiple teams and critical production results.

Responsibilities

• Define the long-range technical strategy for operating DGX Cloud clusters consistently across on-premises, hyperscaler, and NeoCloud environments.
• Define the architectural vision and core operational guidelines for cluster lifecycle, runtime delivery, restoration, release readiness, and steady-state operability across 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 addressing 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 services, provider and hardware readiness, on-premises and bare-metal infrastructure operations, and service-layer reliability domains.

Requirements

• Bachelor's, master's, or doctoral degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
• 18 or more years of experience building and operating large-scale distributed systems, infrastructure platforms, or production environments.
• Demonstrated company-level technical leadership at principal, distinguished, or equivalent scope in production engineering, site reliability engineering, infrastructure software, or cloud platforms.
• Demonstrated experience establishing operating models, architectural direction, and engineering standards across diverse technical domains and organizations.
• A consistent record of leading large, cross-team technical efforts from concept through production, including aligning collaborators, navigating complexity, and delivering measurable outcomes.

Preferred Experience

• Developing the production operating model for a large, diverse infrastructure environment spanning multiple platforms or providers.
• Establishing recognized operating standards, architectures, APIs, or workflows that increased reliability, operability, or performance at company scale.
• Building automation and engineering interfaces that connect platform teams, infrastructure teams, and service owners into a consistent production system.

Additional Role Details

This role is 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 through proven technical leadership, consistent workflows, defined boundaries, and effective cross-team engineering collaboration.

Applications 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 is an equal opportunity employer.

Compensation and Benefits

• Base salary: USD 320,000–488,750 per year, determined based on location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits.