Distinguished Engineer, GPU Fleet Operations Automation

Distinguished Engineer, GPU Fleet Operations Automation

Join to apply for the Distinguished Engineer, GPU Fleet Operations Automation role at NVIDIA.

NVIDIA is leading the industry in delivering accelerated computing in cloud and enterprise environments. We’re a team of innovative engineers dedicated to solving some of the world’s biggest challenges, constantly driving advancements, and impacting millions of lives worldwide!

As a technology leader at NVIDIA, you will lead the development of DGX Cloud strategy for GPU fleet lifecycle, health, observability, and utilization monitoring, and remediation. You will define and drive the technical strategy across multiple environments (bare metal, cloud service provider, and neoclouds), including auto‑remediation strategies to detect, fix, validate, and restore critical systems. You will work with NVIDIA leadership cross‑organizationally and cross‑functionally to deliver accelerated computing infrastructure that enables customers with the highest availability and operational standards.

• Define and drive the technical implementation for DGX Cloud operations practice for GPU fleet lifecycle.
• Collaborate across disciplines to shape the technical strategy and best practices for DGX Cloud engineering.
• Guide technical delivery into DGX Cloud across all delivery environments: enterprise, public cloud, and high‑security, isolated, sovereign.
• Engage customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for operational excellence.
• Lead all technical aspects of planning and continuous evolution of large technical scope from ideation to architecture, design, development, deployment, operations, and lifecycle management.

• 15‑18+ overall years in technical roles with a focus on operations and automation for cloud infrastructure, platforms, and applications.
• 5‑10+ years of lead experience.
• BS/MS or higher (or equivalent experience) in systems/software engineering or related fields.
• Technical proficiency in multi‑tenant data center and cloud‑native architectures, including bare metal, virtualization, containerization, and higher‑level abstractions (IaaS, Kubernetes, Slurm, AI/ML platforms).
• Demonstrated success delivering high‑impact, technically complex solutions that provide transparency into resource utilization, performance, and operational insights.
• Technical leadership ability to synthesize multi‑functional needs into architecture and design while guiding internal execution across complementary teams.
• Strong collaboration and influence skills, capable of leading engineering engagement, presenting to peers, partners, and high‑performance accelerated computing customers.

• Experience applying AI to component and system‑level issue identification and remediation.
• Direct experience designing, developing, delivering, and operating highly available, scaled‑out systems in enterprise and cloud environments.
• History of creating scalable processes and extensible systems that facilitate operations at scale.
• Familiarity with open source ecosystems and projects, ability to collaborate and influence open source governance, and represent NVIDIA customers and partners’ interests in technical alignment and direction.

Your base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is $320,000 – $488,750.

Eligible for equity and benefits.

Applications will be accepted until January 13, 2026.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on any characteristic protected by law. NVIDIA uses AI tools in its recruiting processes.