Head of Global Customer Engineering - Internal EDA Infrastructure

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About the role

...

Responsibilities

• ...
...

Requirements

• ...
...

Qualifications

• A Bachelor’s degree in a relevant engineering field or equivalent experience.

Skills

• Kubernetes
• EDA workloads
• Job schedulers (LSF/Slurm)
• AI/LLM infrastructure foundations
• Automation and AI/ML for support efficiency
• Exceptional communication skills
• Leadership and people development

Benefits

You will also be eligible for equity and benefits.

Pay

The base salary range is 272,000 USD – 431,250 USD for Level 4, and 320,000 USD – 488,750 USD for Level 5.

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About the role

Every NVIDIA GPU starts as a job on our internal EDA infrastructure. Thousands of hardware engineers designing next-generation silicon depend on it being fast, available, and frictionless and when it isn’t, tapeout schedules feel it. This team is the difference. We’re hiring a hands-on engineering leader to develop our Global Customer Engineering for Internal EDA Infrastructure - the organization sitting directly between our chip designers and the platforms they run on. This is a multi-team leadership role spanning managers and tech leads across a globally distributed organization, and it comes with two co-equal mandates: A world-class customer engineering organization for EDA infrastructure - reactive when it must be, proactive by design. The Kubernetes platform team that delivers one of our customer services end to end.

Responsibilities

• Build the leaders. Grow and develop the leaders running a globally distributed team of customer-facing engineers who own the reactive support queue for EDA infrastructure - escalating into service engineering with clean, high-quality signal.
• Develop the Kubernetes platform. Run the K8s platform team as a first-class customer engineering service: availability, roadmap, developer experience, and the operational excellence behind it.
• Ship the L0 AI support layer. Own the evolution of our AI support agent from FAQ bot to a system that safely resolves real issues against real internal systems - and measurably removes volume from human queues.
• Set the bar. Define and defend SLOs for operational performance, and win genuine stakeholder buy-in.
• Stay close to the metal. Drive deep support and continuous improvement across EDA job schedulers (LSF/Slurm), Kubernetes platforms, and the internal LLM harnesses our chip designers depend on.

Requirements

• 12+ overall years building and leading engineering support organizations, spanning reactive and proactive customer engineering.
• 5+ years of experience leading a globally distributed organization, including developing managers and leaders.
• Proven ability to influence technical roadmaps by turning support trends into engineering requirements that actually ship.
• Deep technical familiarity with Kubernetes, EDA workloads, job schedulers, and AI/LLM infrastructure foundations.
• Track record of leveraging automation and AI/ML to improve support efficiency and drive ticket volume down.
• Exceptional communication skills - credible with individual engineers and executive leadership in the same day.

Qualifications

• A Bachelor’s degree in a relevant engineering field or equivalent experience.

Skills

• Kubernetes
• EDA workloads
• Job schedulers (LSF/Slurm)
• AI/LLM infrastructure foundations
• Automation and AI/ML for support efficiency
• Exceptional communication skills
• Leadership and people development

Benefits

You will also be eligible for equity and benefits.

Pay

The base salary range is 272,000 USD – 431,250 USD for Level 4, and 320,000 USD – 488,750 USD for Level 5.