Key skills
CloudDistributed SystemsKubernetesLinuxGoCK8s
About this role
Role Overview
- 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 container orchestrators such as Kubernetes
- 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 software integrates seamlessly up and down the stack
- Proficiently multitask on different tracks to efficiently address evolving priorities
Requirements
- BS/MS in Computer Science, or related field (or equivalent experience)
- 12+ years of relevant work experience
- Expert level knowledge in a systems programming language (Go, C)
- Solid understanding of Data Structures and Algorithms
- Strong understanding of Container Orchestration Systems (K8s)
- Knowledge and experience working with System internals of the Linux Operating System
- Strong background in Cloud Computing and Distributed Software design and development
- Understanding of performance, security and reliability in complex distributed systems
Tech Stack
- Cloud
- Distributed Systems
- Kubernetes
- Linux
- Go
Benefits
- equity
- benefits