Distinguished Engineer, GPU Fleet Operations Automation

NVIDIA•Santa Clara, CA

About The Position

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 defining and developing the auto-remediation strategies to detect, fix, validate, and restore-to-service 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.

Requirements

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 engineering fields
Technical proficiency in multi-tenant data center and cloud-native architectures, with bare metal, virtualization, containerization, and higher level abstractions (IaaS, Kubernetes, Slurm), AI/ML platforms and applications.
Shown success delivering high-impact technically complex solutions that achieve high levels of 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.
Communication and Partnership: Strong collaboration and influence skills, capable of leading engineering engagement, presenting with peers, partners, and working with high performance accelerated computing customers.

Nice To Haves

Application of Artificial Intelligence: Real world experience applying AI to component and system level issue identification and remediation.
Industry Expertise: Direct experience in designing, developing, delivering and operating highly available scaled out systems in enterprise and cloud environments.
Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate operations at scale.
Open Source Collaboration: Familiarity with open source ecosystems and projects. Ability to collaborate and influence in open source project governance, represent NVIDIA customers and partners interests in technical alignment and direction.

Responsibilities

Various Architectural Work: define and drive the technical implementation for DGX Cloud operations practice for GPU fleet lifecycle.
Collaborate on Cross Domain Disciplines: drive the technical strategy and awareness for best practices and technical capabilities into DGX Cloud engineering practices.
Accelerate Integration: Guide the technical delivery into DGX Cloud across all delivery environments: enterprise, public cloud, and high security, isolated, sovereign.
Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for operational excellence.
Full Software and System Lifecycle: From ideation to architecture, design, development, deployment, operations, and full lifecycle management, lead all technical aspects of planning and continuous evolution of large technical scope.