Head of Global Customer Engineering - Internal EDA Infrastructure

NVIDIA Gruppe; Washington; On-site; USD 272,000 - 489,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior leader to build and run a globally distributed customer engineering organization for reactive and proactive support of EDA infrastructure. You will grow leaders, own the Kubernetes platform, and evolve the AI support layer to reduce human queues while delivering high-quality signal to internal customers.

In this role you will set and defend SLOs, influence roadmaps from support data, and work closely with chip-design teams to optimize schedulers and internal LLM

Qualifications

• 12+ years building and leading engineering support organizations.
• 5+ years leading globally distributed teams and developing managers/leaders.
• Ability to influence technical roadmaps by turning support trends into ship-ready requirements.
• Bachelor's degree in engineering or equivalent experience.

Responsibilities

• Build and lead a globally distributed customer-facing engineering org responsible for reactive and proactive support.
• Develop and manage the Kubernetes platform as a first-class customer engineering service.
• Own the evolution of the L0 AI support layer and reduce ticket volume through automation and AI/ML.
• Define, defend and socialize SLOs for operational performance with stakeholders.
• Collaborate with EDA schedulers (LSF/Slurm), Kubernetes platforms, and internal LLM harnesses.

Skills

Leadership

Strategy

Stakeholder management

Communication

Kubernetes

EDA workloads

AI/LLM infrastructure

Automation

Education

Bachelor's degree in engineering

Tools

Kubernetes

LSF

Slurm

LLM infrastructure

Job description

What You’ll Be Doing:

• 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.

What We Need To See:

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

Ways To Stand Out from the Crowd:

• Led a platform team and a customer facing team simultaneously, and made each one better because of the other.
• You’ve architected “self-healing” support ecosystems where a customer engineering team builds and owns the tools it runs on including “shift-left” tooling that resolved issues before a ticket ever existed.
• You’ve led the full lifecycle of generative AI / LLM-based support assistants, well beyond basic chatbots, into systems that integrate deeply and safely with internal infrastructure.
• Run LSF, Slurm, or Kubernetes at a scale where manual intervention was the bottleneck and you personally led the automation that removed it.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.

NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

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

You will also be eligible for equity and benefits.

NVIDIA uses AI tools in its recruiting processes.

Applications for this job will be accepted at least until September 19, 2026.

This posting is for an existing vacancy.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.