Senior Engineering Manager – Containers, Kubernetes, Confidential Computing
NVIDIA · Location not listed · On-site
About the role
Job Description: • Manage the team working on platform software based on open-source Container runtimes, Kubernetes, Kata and Confidential Container technologies • Explore innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor • Enable GPUs as first-class resources in Kubernetes, Kata Containers and Confidential Containers • Work with the core group on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment • Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly up and down the stack • Multitask across different tracks to address evolving priorities
Requirements: • 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 • 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.
Benefits: • Equity • Benefits
What you'll do
- Manage the team working on platform software based on open-source Container runtimes, Kubernetes, Kata and Confidential Container technologies
- Explore innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor
- Enable GPUs as first-class resources in Kubernetes, Kata Containers and Confidential Containers
- Work with the core group on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment
- Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly up and down the stack
- Multitask across different tracks to address evolving priorities