Senior Systems Software Engineer, Containers and Kubernetes

NVIDIA is hiring a Senior Systems Software Engineer to develop platform software based on open-source container runtimes and Kubernetes. The role focuses on enabling GPUs as first-class resources in container orchestrators and integrating software across NVIDIA’s engineering stack.

Responsibilities:

• 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
• 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 software integrates seamlessly up and down the stack
• Proficiently multitasking on different tracks to efficiently address evolving priorities

Requirements:

• strong programming skills, a deep understanding of designing and building software, especially related to GO and Kubernetes, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills
• BS/MS in Computer Science, or related field (or equivalent experience)
• 8+ years of relevant work experience
• Expert level knowledge in a systems programming language (Go, C) and solid understanding of Data Structures and Algorithms
• Strong understanding of Container Orchestration Systems (K8s) and Container Technology
• 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
• Strong experience with Go programming language, Containers and Kubernetes
• Active recent participation and consistent technical contributions to CNCF and Kubernetes SIG projects
• Experience with K8s Operator framework, Container Device Interface (CDI) and Dynamic Resource Allocation (DRA)