NVIDIA Logo

NVIDIA

Senior Engineering Manager - Containers, Kubernetes, and Confidential Computing

Posted 3 Days Ago
In-Office or Remote
7 Locations
272K-431K Annually
Senior level
In-Office or Remote
7 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 the pay of employees in similar positions. The base salary range 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 October 30, 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 Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

NVIDIA Bellevue, Washington, USA Office

Bellevue, United States

NVIDIA Redmond, Washington, USA Office

Redmond, United States

Similar Jobs

7 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
110K-125K Annually
Mid level
110K-125K Annually
Mid level
Edtech • Social Impact
Mentors approximately 20–40 AI fellows across nonprofit host organizations, providing coaching, feedback, milestone reviews, curriculum delivery, and technical guidance. Helps fellows navigate ambiguity, stakeholder management, organizational adoption, communication, and AI-enabled solutions. Identifies recurring risks and escalates issues to program, curriculum, technical, or management owners. The role also facilitates assessments, workshops, presentations, and professional development in a fully remote environment.
Top Skills: Ai AgentsAutomationClaudeLlm-Based Applications
38 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
50-50 Hourly
Mid level
50-50 Hourly
Mid level
Fintech • Real Estate • Software • Financial Services • PropTech
Supports recruiting operations through interview scheduling, candidate communication, sourcing, pipeline development, ATS and CRM management, reference checks, onboarding coordination, reporting, and recruiting tool administration. The role partners with recruiters and hiring managers, maintains accurate recruiting data, supports candidate experience, and coordinates new-hire setup. It is a remote-first contract position with full-time hours.
Top Skills: Applicant Tracking Systems (Ats)Crm SystemsGoodtimeGreenhouseGuideHris PlatformsJuiceboxLinkedin RecruiterSpreadsheets
44 Minutes Ago
Remote
United States
182K-230K Annually
Senior level
182K-230K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software • Generative AI • Automation
Partner with enterprise customers to define AI transformation strategies, identify high-value use cases, drive organizational adoption, and realize measurable business outcomes. Build executive relationships, develop success plans, track value realization, remove adoption barriers, coordinate cross-functional teams, influence product priorities, manage escalations, and promote customer advocacy. The role focuses on strategic outcomes rather than renewals, pricing, or contract management.
Top Skills: Enterprise SoftwareGenerative AiMarketing TechnologySaaS

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account