NVIDIA Logo

NVIDIA

Senior Engineering Manager - Containers, Kubernetes, and Confidential Computing

Reposted 2 Days Ago
In-Office or Remote
6 Locations
272K-431K Annually
Senior level
In-Office or Remote
6 Locations
272K-431K Annually
Senior level
Leads engineering teams developing platform software for GPU-accelerated applications using Kubernetes, container runtimes, Kata Containers, and Confidential Containers. Responsibilities include enabling GPUs as Kubernetes resources, integrating software across NVIDIA’s technology stack, managing priorities, and delivering secure, reliable distributed systems. The role requires deep systems software expertise, engineering management experience, and hands-on knowledge of containers, Linux, cloud computing, virtualization, and confidential computing technologies.
The summary above was generated by AI

NVIDIA is looking for a hardworking Senior Engineering Manager to effectively manage the team working on platform software based on open-source Container runtimes, Kubernetes, Kata and Confidential Container technologies. We expect you to have strong engineering management skills, a deep understanding of designing and building software, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while being strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous, and love having fun, we want to hear from you!


What you will be doing:

  • You'll be part of a small and dynamic team that explores innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
  • Work on enabling GPUs as first-class resources in Kubernetes, Kata Containers and Confidential Containers.
  • This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.
  • Work with engineering teams across all of NVIDIA to ensure your team’s software integrates seamlessly up and down the stack.
  • Proficiently multitasking on different tracks to efficiently address evolving priorities.

What we need to see:

  • BS/MS in Computer Science, or related field (or equivalent experience)
  • A minimum of 12 years of relevant professional experience, including at least 5 years dedicated to managing high-performing engineering teams.
  • Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
  • Working knowledge in Systems programming languages, such as Rust and Go, alongside a strong foundation in data structures and algorithm design.
  • Knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
  • Strong background in Cloud Computing and Distributed Software design and development.
  • Understanding of performance, security, and reliability in complex distributed systems.

Ways to stand out from the crowd:

  • Strong recent experience managing engineering teams focused on Containers, Kubernetes and Confidential Computing technologies.
  • Real-world strong hands-on experience with Containers and Kubernetes.
  • Proficient with Kata Containers and Container sandboxing technologies
  • Well-versed in Attestation concepts, Key Broker Service, etc.
  • Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

19 Minutes Ago
In-Office or Remote
117K-175K Annually
Senior level
117K-175K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Own complex, high-value deal strategy and contract operations for enterprise SaaS sales. Structure commercial deals, manage quotes and contracts, coordinate Finance, FinOps, Legal, and Sales stakeholders, oversee approvals and revenue recognition steps, maintain Salesforce data, and drive deals through signature. Mentor contract operations team members, review recommendations, improve documentation and playbooks, and monitor deal-cycle and approval KPIs.
Top Skills: CpqIroncladSalesforceSlack
19 Minutes Ago
In-Office or Remote
120K-204K Annually
Senior level
120K-204K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Owns strategic enterprise accounts across a multi-product ecommerce platform, driving adoption, retention, renewals, expansion, and customer advocacy. Develops success plans, manages churn risks and escalations, leads executive reviews and commercial conversations, forecasts renewals and growth opportunities, and collaborates with Sales, Product, and Account Management. The role also influences product strategy, builds customer champions, mentors peers, and maintains data-driven account documentation.
Top Skills: AIE-Commerce PlatformsSaaS
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
98K-132K Annually
Mid level
98K-132K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customers after implementation by developing joint success plans, conducting executive business reviews, leading operational workshops, recommending workflow improvements, and driving value from Samsara’s IoT platform. Partner cross-functionally with Sales, Support, Sales Engineering, and Product, while mentoring Customer Success and Support teams. The role requires strong stakeholder communication, technical product knowledge, problem-solving, and up to 25% travel.
Top Skills: Internet Of Things (Iot)SaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account