Senior Systems Engineer: GPU Kubernetes & Containers

NVIDIA

Austin (TX)

On-site

USD 184,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA in Austin, TX is seeking a Sr. Systems Software Engineer to design and implement platform software around open-source container runtimes and Kubernetes. You will apply strong Go and C skills, work on distributed systems, performance, and reliability.

You will join a small, dynamic team advancing GPU as a first-class resource in Kubernetes, collaborate across NVIDIA, and contribute to Cloud Native efforts. The base salary ranges listed, with equity and benefits.

Qualifications

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.

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.