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 full stack integration. Specifically, architecting the seamless interface between accelerated hardware and software stacks 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 full stack integration (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 full stack accelerated computing at scale.

Requirements

  • 15-20+ overall years in technical roles with a focus on low-level systems integration, including hardware, firmware, operating systems, and virtualization.
  • Expertise in defining the abstractions and building the systems to deliver secure, highly available IaaS and PaaS layers.
  • 7-10+ years of leadership 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, with a deep understanding of full stack connectivity 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.
  • Ability to synthesize cross-functional needs into architecture and design while guiding internal execution across diverse teams.
  • Strong collaboration and influence skills, capable of leading engineering engagement, communicating with peers, partners, and working with high performance and accelerated computing customers.

Nice To Haves

  • Real world experience building the systems to support AI/ML workloads.
  • Direct experience in designing, developing, delivering and operating secure, highly available, scaled out systems in enterprise and cloud environments.
  • Demonstrated history of creating scalable processes and extensible systems that facilitate cross-functional collaboration and operations at scale.
  • Familiarity with open source ecosystems and projects in the infrastructure space (Linux, Kubernetes, CAPI, KubeVirt, Kata, …).
  • Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction.

Responsibilities

  • Hardware-software boundary engineering, define and drive the technical implementation for DGX Cloud full stack integration systems, focusing on the interface between hardware, firmware, and system software layers.
  • Layered stack integration, drive the technical strategy and integrations for shared memory, storage, and networking systems, extending these capabilities through the IaaS and PaaS layers.
  • Guide the technical delivery across varied environments including neocloud, enterprise, sovereign, and high security private datacenters, ensuring robust full stack connectivity.
  • Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for performance and availability.
  • From ideation to architecture, design, development, deployment, operations, and full lifecycle management, lead all technical aspects of planning and continuous evolution of software, integrations, and operations.

Benefits

  • competitive salaries
  • generous benefits package
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