Global Head of EDA Platform & Customer Engineering

NVIDIA Corporation

United States

On-site

USD 272,000 - 489,000

Full time

8 days ago

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Job summary

NVIDIA Corporation seeks a hands-on engineering leader to grow Global Customer Engineering for Internal EDA Infrastructure, spanning managers and tech leads across a globally distributed team. You will own the reactive and proactive support efforts and drive end-to-end Kubernetes platform initiatives.

You will shape automation, AI/LLM driven tooling, and platform maturity while staying closely connected to production environments.

Qualifications

  • 12+ years building and leading engineering support organizations.
  • 5+ years leading a globally distributed organization, developing managers and leaders.
  • Influence technical roadmaps by turning support trends into engineering requirements that ship.
  • Deep technical familiarity with Kubernetes, EDA workloads, job schedulers, and AI/LLM infrastructure foundations.
  • Experience leveraging automation and AI/ML to improve support efficiency and reduce tickets.
  • Excellent communication skills with engineers and executives.
  • Bachelor’s degree in a relevant engineering field or equivalent experience.

Responsibilities

  • Build the leaders of a globally distributed customer engineering team.
  • Develop the Kubernetes platform as a first-class service with availability and developer experience.
  • Ship AI support layer evolution to safely resolve issues in internal systems.
  • Define and defend SLOs for operational performance and gain stakeholder buy-in.
  • Drive deep support and continuous improvement across EDA schedulers, Kubernetes, and AI harnesses.

Skills

Kubernetes
AI/LLM infra
Automation
Leadership
Communication
Roadmap influence
Distributed teams

Education

Bachelor’s degree in engineering or equivalent

Tools

LSF/Slurm
Kubernetes platforms
AI/LLM tooling

Job description

NVIDIA Corporation seeks a hands-on engineering leader to grow Global Customer Engineering for Internal EDA Infrastructure, spanning managers and tech leads across a globally distributed team. You will own the reactive and proactive support efforts and drive end-to-end Kubernetes platform initiatives.

You will shape automation, AI/LLM driven tooling, and platform maturity while staying closely connected to production environments.

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