NVIDIA Corporation

Engineering Manager, Kubernetes Customer Delivery and Self-Service

NVIDIA Corporation$224K — $356K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of industry experience with 2+ years in a leadership role
  • Experience with API development and self-service infrastructure
  • Strong understanding of Kubernetes and cloud systems
  • Hands-on use of AI coding tools in engineering workflows
  • Proven ability to integrate systems into a cohesive workflow
  • Effective at translating operational needs into technical solutions
  • Exceptional leadership and communication skills with customer focus

Responsibilities

  • Build and lead a team focused on Kubernetes customer delivery and self-service
  • Oversee the end-to-end delivery of production Kubernetes clusters for AI tasks
  • Drive comprehensive delivery plans with clear responsibility and timelines
  • Collaborate across various teams to enhance platform functionality
  • Create integrations for customer request systems and Kubernetes provisioning
  • Automate recurring tasks to streamline self-service workflows
  • Define service interfaces and improve delivery metrics for customer visibility
  • Establish staffing and roadmap while mentoring technical leaders

Benefits

  • Eligibility for equity options
  • Access to comprehensive health benefits
  • Opportunities for professional development and training
  • Flexible working arrangements
  • Innovation-driven work environment
Full Job Description
NVIDIA's DGX Cloud Kubernetes Platform & Production Engineering team is seeking an Engineering Manager to develop and guide our Customer Delivery and Self-Service function. This group will manage the entire engineering delivery process from an approved customer request through platform enablement, cluster build, validation, and handoff. The leader will also transform the current cross-team process into a scalable, automated, self-service solution.

What you'll be doing:
  • 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.


What we need to see:
  • 8+ overall years of industry experience, including 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 using 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 experience.


Ways to stand out from the crowd:
  • Experience building Kubernetes provisioning, infrastructure-as-code, service catalog, or internal developer platform capabilities.
  • Familiarity with Terraform, GitOps, identity and access management, RBAC, APIs, workflow engines, and production-readiness automation.
  • Experience with GPU infrastructure and AI-optimized Kubernetes clusters, including accelerated networking, high-performance storage, GPU scheduling, workload qualification, or large-scale fleet operations.
  • A track record of reducing onboarding time and operational toil through automation and self-service.
  • Experience combining strong platform engineering with an attitude centered on product development and customer needs.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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