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Principal Software Engineer - DGX Cloud

NVIDIA · Washington, United States · 2 wk ago
RemoteRemoteEngineeringFull-time

About the role

Join the DSX Kubernetes Fleet team within NVIDIA's DGX Cloud organization—a collaborative group of cloud platform engineers, architects, and SREs passionate about building automation, lifecycle management, and deployment safety for a massive GPU-accelerated container platform. You will help empower the world's leading AI teams to train and deploy at AI Factory scale, with resiliency and security as top priorities. The team designs and builds APIs and workflows that thoughtfully turn high-level deployment intent into production-ready AI infrastructure management, owning code end-to-end and caring deeply about the full lifecycle of AI Factory Kubernetes clusters from provisioning through upgrades and decommissioning. The goal is to enable new AI Factories to be built at speed of light, with software developed in the open.

Responsibilities

  • Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
  • Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.
  • 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.

Requirements

  • BS/MS in Computer Science or related field (or equivalent experience).
  • 15+ years of proven work experience in large scale environments.
  • 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 modern infrastructure tools and technologies.
  • Proven experience in setting up, maintaining, and automating continuous deployment systems.
  • Strong background in Cloud Computing and Distributed Software design and development.
  • Understanding of performance, security, and reliability in complex distributed systems.

Skills

  • Extensive experience with the Go programming language.
  • Deep understanding of rack-scale GPU systems.
  • Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
  • Significant hands-on experience with Containers and Kubernetes.
  • Hands-on experience with container workload isolation and confidential computing.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits.

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