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# Systems Software Engineer, Containers and Kubernetes

- **Company:** NVIDIA Corporation
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Computer Programming, Data Structures, Linux, Distributed Systems, Open Source Technology, Software Construction, Software Engineering, System Programming, Graphics Processing Unit (GPU), Containerization, Kubernetes, Information Technology
- **Published:** September 2, 2026
- **Apply:** https://startup.jobs/senior-systems-software-engineer-containers-and-kubernetes-2100-nvidia-usa-9875829

## About the Role

* 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.

Ways to stand out from the crowd:

 * 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).

## Description

* 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.


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- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)

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