Kubernetes Platform Engineering Manager (AI & Self-Service)

Nvidia Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA in Santa Clara, CA, seeks an experienced leader to build and guide a team of software and production engineers focused on Kubernetes delivery for AI workloads. You will own end-to-end delivery from request through enablement and handoff, while coordinating timelines, owners, and risks.

You will work across platform, runtime, release, fleet operations, CSE, product, TPM, security, and infrastructure teams to automate and scale self-service workflows via APIs and AI tools.

Qualifications

• 8+ years of industry experience.
• 2+ years leading or managing engineers.
• Experience building platform APIs, self-service infrastructure, workflow automation, developer platforms, or customer onboarding systems.
• Strong understanding of Kubernetes, cloud infrastructure, distributed systems, or production engineering.
• Hands-on experience with AI coding tools and AI-enabled engineering workflows.
• Experience integrating multiple systems and teams into a reliable end-to-end workflow.
• Ability to translate customer and operational requirements into clear technical interfaces and automated solutions.
• Strong cross-functional leadership, communication, customer empathy, prioritization, and judgment.
• BS or MS in Computer Science, Engineering, or equivalent.

Responsibilities

• Build and lead a team of software and production engineers passionate about Kubernetes customer delivery, onboarding, and self-service.
• Own end-to-end delivery of production Kubernetes clusters for AI workloads, from accepted request through enablement, qualification, validation, and customer handoff.
• Drive a coordinated delivery plan with clear owners, dependencies, readiness gates, timelines, risks, status, and blocking issues.
• Partner across platform, runtime, release, fleet operations, CSE, product, TPM, security, and infrastructure teams.
• Build integrations connecting customer intake and status systems with Kubernetes provisioning, access, validation, and production acceptance.
• Turn recurring delivery tasks into detailed, automated self-service workflows using APIs, AI tools, and agents.
• Define service interfaces and measure and improve delivery speed, readiness, automation, recovery, and customer visibility.
• Set the team's roadmap, staffing, and operational ownership while hiring, mentoring, and developing technical leaders.

Job description

NVIDIA in Santa Clara, CA, seeks an experienced leader to build and guide a team of software and production engineers focused on Kubernetes delivery for AI workloads. You will own end-to-end delivery from request through enablement and handoff, while coordinating timelines, owners, and risks.

You will work across platform, runtime, release, fleet operations, CSE, product, TPM, security, and infrastructure teams to automate and scale self-service workflows via APIs and AI tools.