Jobs · Management · Texas

Engineering Manager, DGX Cloud Production Engineering

NVIDIA AI · Dallas County, TX · Yesterday
ManagementFull-time

About the role

NVIDIA DGX Cloud is building the operating model for reliable, scalable GPU infrastructure across internal, partner, and on-prem environments. We are seeking an Engineering Manager to lead a team of software and production engineers focused on Kubernetes-based operations, automation, reliability, and cluster lifecycle tooling.

Responsibilities

  • Lead a team of software and production engineers building and operating DGX Cloud infrastructure across NVIDIA Cloud Partner (NCP) and on-prem environments.
  • Drive execution across cluster operations, Kubernetes operability, automation, GitOps, observability, and incident response.
  • Help define team priorities, roadmap, staffing, and operational ownership.
  • Partner with platform, workload, storage, networking, security, and TPM teams to improve production readiness.
  • Build a healthy on-call and incident review culture focused on learning, ownership, and durable fixes.
  • Coach engineers, grow technical leaders, and create clear ownership across ambiguous problem spaces.

Requirements

  • 8+ overall years of industry experience, including 2+ years leading or managing engineers.
  • Experience building or operating production infrastructure, cloud platforms, Kubernetes environments, or distributed systems.
  • Strong understanding of reliability engineering, automation, observability, incident response, and operational excellence.
  • Ability to work across teams and influence without direct authority.
  • Clear communication, strong prioritization, and sound judgment in fast-moving environments.
  • BS/MS in Computer Science or equivalent experience.

Qualifications

  • Experience leading SRE, production engineering, infrastructure automation, or platform teams.
  • Experience with GPU infrastructure, Kubernetes fleet operations, GitOps, BMaaS/VMaaS, managed Kubernetes, or multi-cloud environments.
  • Track record of reducing toil, improving SLOs, and turning operational work into software-driven systems.

Skills

  • Leadership skills
  • Technical expertise in Kubernetes, reliability engineering, automation, observability, and incident response
  • Collaborative and cross-functional teamwork
  • Strategic planning and execution

Benefits

  • Competitive base salary ranging from $224,000 to $356,500 based on location, experience, and market.
  • Equity and comprehensive benefits package.

Pay

  • Base salary range: $224,000 - $356,500

Schedule

  • Full-time position

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