Senior Systems Software Engineer, Containers and Kubernetes

NVIDIA•Austin, CA

About The Position

NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have 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. We also welcome out-of-the-box problem solvers who can provide new ideas while 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 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 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

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) 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.

Nice To Haves

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).

Responsibilities

Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
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.