DGX Cloud Automation Engineer

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
79 days ago
Freshness
Confirmed live today

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Similar $179k
$123k $226k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,400–$216,262.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · DGX Cloud Automation Engineer

The DGX Cloud Automation Engineer joins the DGX Cloud Engineering Team to help craft the future of AI and GPUs in the cloud. This role focuses on building development and release processes for AI Factories software while maintaining high standards for CI/CD and release engineering tools. Key responsibilities include designing scalable cloud-based systems for PaaS/IaaS, developing tools for on-prems and cloud software deployment, and collaborating with developers and QA to streamline release processes. The position requires expertise in Kubernetes, KubeVirt, Golang, and Docker. Candidates must understand virtualization, distributed systems, and security, with experience in Infrastructure as Code, RESTful web services, and CSPs like AWS. The role specifically addresses the technical challenge of transitioning AI projects from development to deployment within a cloud platform.

What you'll do

  • Design, build, and implement scalable cloud-based systems for PaaS and IaaS.
  • Develop, maintain, and improve CI/CD tools for on-premises and cloud software deployments.
  • Build and manage development and release processes for AI Factories software.
  • Establish and streamline software release processes in coordination with developers and QA teams.
  • Support, maintain, and document software functionality for the DGX Cloud platform.
  • Bring up bare metal infrastructure in datacenters using PXE Boot, DHCP, DNS, and OS.
  • Build and manage RESTful web services and containerized environments using Docker and Kubernetes.

What we're looking for

  • BS or MS in Computer Science or equivalent experience.
  • 8+ years of experience in DevOps and Deployment.
  • 2+ years of programming experience in Golang.
  • Expertise in Kubernetes (K8s) and KubeVirt.
  • Expertise in bringing up bare metal in a datacenter including PXE Boot, DHCP, DNS, and OS.
  • Experience with Infrastructure as Code, Docker, Containers, and building RESTful web services.
  • Background with Cloud Service Providers such as AWS.
  • Experience bringing up bare metal infrastructure for HPC (preferred).

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