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Nvidia Software Engineer - DGX Cloud 
United States, Texas 
242587194

Yesterday
US, WA, Seattle
US, Remote
US, CA, Santa Clara
time type
Full time
posted on
Posted 2 Days Ago
job requisition id

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What you will be doing:

  • Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.

  • Enable GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.

  • Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.

  • Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software.

  • Automate and optimize build, test, integration, and release processes for cloud-native applications.

  • Efficiently multitask across different projects, addressing evolving priorities effectively.

What we need to see:

  • BS/MS in Computer Science or related field (or equivalent experience).

  • 5+ years of relevant work experience.

  • Expert-level knowledge in systems programming languages (Go, C) with a solid grasp of Data Structures and Algorithms.

  • Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.

  • In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.

  • Hands-on automation experience with frameworks like Ansible and Terraform.

  • Proven experience in setting up, maintaining, and automating continuous integration systems.

  • 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:

  • Extensive experience with the Go programming language.

  • Strong background with Gitlab, Argo, Flux, and other CI/CD systems.

  • Significant hands-on experience with Containers and Kubernetes.

You will also be eligible for equity and .