About The Position

In this role, you will own the enterprise platforms that enable the development, deployment, operation, and scaling of AI agents and GPU-accelerated workloads for NVIDIA employees. Partnering with teams across NVIDIA, you will deliver reliable, secure, and scalable capabilities that empower employees to innovate and work more effectively. You will also collaborate closely with NVIDIA’s enterprise partners to broaden the adoption and impact of NVIDIA technologies, extending their reach across both NVIDIA and the wider industry ecosystem.

Requirements

  • Bachelor’s degree in computer science or a related field, or equivalent experience.
  • 12+ overall years building large-scale software or infrastructure, including 8+ years leading engineering teams.
  • Deep expertise in distributed systems, cloud platforms, databases, and production operations.
  • Strong product judgment with a record of delivering platforms that achieve meaningful adoption.
  • Exceptional technical leadership, communication, and cross-functional influence.

Nice To Haves

  • Experience scaling GPU-accelerated inference platforms on Kubernetes.
  • Success leading enterprise modernization programs.
  • Expertise in observability and FinOps.

Responsibilities

  • Define platform strategy, priorities, targets, and execution plans aligned with NVIDIA’s business goals.
  • Lead runtime engineering for the AI Factory, offering scalable AI inference and secure environments for agents to run.
  • Hire and retain top engineering talent across all layers of the agentic experience stack.
  • Use and integrate NVIDIA's products and services into developer experiences.
  • Drive architecture and operational excellence across reliability, performance, security, cost, and developer experience.
  • Build high-performing teams and influence technical strategy with senior leaders across NVIDIA

Benefits

  • equity
  • benefits
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