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