Distinguished Engineer, Utility Computing

Overview

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 utility computing. Specifically, the Infrastructure as a Service (IaaS) systems to deliver bare metal and virtualized accelerated computing hardware to users. You will define and drive the technical strategy across multiple datacenter environments (enterprise, sovereign, neocloud). Including defining and developing the control and data plane systems that enable utility computing (on-demand, scalable, metered) for accelerated computing hardware. You will work with NVIDIA leadership, cross-organizationally and cross-functionally, to establish the product definition, roadmap, and technical strategy to deliver utility accelerated computing at scale.

What You’ll Be Doing

• Various Architectural Work: Define and drive the technical implementation for DGX Cloud utility computing systems to deliver bare metal and virtualized accelerated computing.
• Collaborate on Cross Domain Disciplines: Drive the technical strategy and integrations for shared memory, storage, and networking systems.
• Accelerate Integration: Guide the technical delivery across varied environments: enterprise, government/sovereign, high security/air-gapped, and private datacenters.
• Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for performance and availability.
• 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 a large technical scope.

What We Need To See

• 18+ overall years in technical roles with a focus on operating systems, virtualization, networking, storage, and cloud infrastructure.
• Defining the abstractions and building the systems to deliver secure, highly available, durable systems for IaaS.
• 7-10+ years of lead experience.
• BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields.
• Technical proficiency in multi-tenant datacenter and cloud-native architectures for bare metal and virtualization across compute, storage, and networking.
• Proven 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 cross-functional needs into architecture and design while guiding internal execution across diverse teams.
• Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with peers, partners, and working with high performance and accelerated computing customers.

Ways To Stand Out From The Crowd

• Application of Artificial Intelligence: Real world experience building the systems to support AI/ML workloads.
• Industry Expertise: Direct experience in designing, developing, delivering and operating secure, highly available, scaled out systems in enterprise and cloud environments.
• Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate cross-functional collaboration and operations at scale.
• Open Source Collaboration: Familiarity with open source ecosystems and projects in the infrastructure space (e.g. Linux, KVM). Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction.

Key skills/competency

• Utility Computing
• Infrastructure as a Service (IaaS)
• Accelerated Computing
• Cloud Infrastructure
• Datacenter Architecture
• Bare Metal Systems
• Virtualization
• Control Plane
• Data Plane
• Distributed Systems