NVIDIA Logo

NVIDIA

Senior Engineering Manager - Containers, Kubernetes, and Confidential Computing

Reposted 6 Days Ago
In-Office or Remote
5 Locations
272K-431K Annually
Senior level
In-Office or Remote
5 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.

Similar Jobs

Yesterday
Remote or Hybrid
United States
69K-114K Annually
Entry level
69K-114K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills: HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce
Yesterday
In-Office or Remote
United States
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads go-to-market excellence for specialty-care patient engagement programs across pharmaceutical brands. Translates strategy into launch plans, targeting models, channel and field execution, compliant content operations, training, governance, and performance dashboards. Partners with Marketing, Patient Solutions, Legal, Compliance, Medical, Sales, and other functions to improve program productivity, accelerate review cycles, and establish data-backed feedback loops. Requires significant pharmaceutical experience, matrix leadership, strategic planning, and complex program-management expertise.
Top Skills: AmplifyCentris
Yesterday
In-Office or Remote
20-36 Hourly
Senior level
20-36 Hourly
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Adjudicates complex medical and dental claims, processes provider and health-plan adjustments, reviews payment and reimbursement guidelines, reconciles claims leakage and EDI issues, analyzes high-dollar payments, handles returned checks and refunds, performs provider audits, and researches claims inquiries. The role requires interpreting contracts, fee schedules, reimbursement methods, medical terminology, coding, billing forms, and regulatory guidelines while collaborating with customer service and management.
Top Skills: CptEdiHcfa/Ub-92HipaaIcd-9

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account