Head of Global Customer Engineering – Internal EDA Infrastructure

NVIDIA

. Build and develop leaders running a globally distributed customer engineering team .

Posted 9/15/2026full-timeRemote • California • United StatesLead💰 $272,000 - $488,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading globally distributed engineering support teams, with a strong focus on Kubernetes, EDA workloads, and AI/LLM infrastructure. Proven ability to drive operational excellence through automation and effective communication with stakeholders at all levels.

Highest-signal resume keywords

Kubernetes ManagementEngineering Support LeadershipAI/ML AutomationOperational Performance DefinitionCustomer Engineering Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesEDA WorkloadsJob SchedulersAI/LLM InfrastructureAutomation PipelinesSelf-Healing Support EcosystemsShift-Left ToolingGenerative AI Support AssistantsTechnical Roadmap InfluenceOperational Overhead Elimination

Soft Skills

Exceptional Communication Skills

Tools & Technologies

LSFSlurm

Certifications & Qualifications

Bachelor’s Degree in Engineering

Industry Keywords

Customer EngineeringOperational ExcellenceSupport EfficiencyReactive SupportProactive Support

Tech Stack

Tools & technologies

Kubernetes

About the role

Key responsibilities & impact

Build and develop leaders running a globally distributed customer engineering team
Own the reactive support queue for EDA infrastructure and escalate into service engineering with high-quality signal
Run the Kubernetes platform team as a customer engineering service, including availability, roadmap, developer experience, and operational excellence
Own the evolution of the AI support agent from FAQ bot to a system that safely resolves issues against real internal systems
Define and defend SLOs for operational performance and secure stakeholder buy-in
Drive deep support and continuous improvement across EDA job schedulers, Kubernetes platforms, and internal LLM harnesses
Design software solutions and automation pipelines to eliminate operational overhead
Stay connected to live production environments and engineer permanent automated remedies for recurring toil

Requirements

What you’ll need

12+ overall years building and leading engineering support organizations, spanning reactive and proactive customer engineering
5+ years 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
Experience with LSF, Slurm, or Kubernetes at scale
Experience architecting self-healing support ecosystems and shift-left tooling
Experience leading generative AI / LLM-based support assistants
Must be located in one of the listed US locations

Benefits

Comp & perks

Equity
Benefits
Equal opportunity employer
Inclusive work environment