DGX Cloud Automation Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 33 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $236k

$117k most similar roles pay here $306k

This role pays more than 84% of similar roles. Most pay $135,187–$214,562 — the shaded band above. At the midpoint, this role pays about $236k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · DGX Cloud Automation Engineer

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As a DGX Cloud Automation Engineer on the DGX Cloud Engineering Team, you will play a critical role in building development and release processes for AI Factories software while maintaining high standards for CI/CD and release engineering tools. You will design, build, and implement scalable cloud-based systems for PaaS and IaaS environments, collaborating with developers, QA, and product teams to streamline software release cycles. The role requires expertise in Kubernetes, KubeVirt, Docker, and Infrastructure as Code to support both on-premises and cloud deployments. Technical requirements include proficiency in Golang, building RESTful web services, and managing bare metal infrastructure involving PXE Boot, DHCP, DNS, and OS. You will work within the domain of a cloud platform tailored for AI tasks, specifically focused on transitioning projects from development to deployment using GPU-powered services.

Skills

Golang Kubernetes KubeVirt Docker AWS CI/CD Infrastructure as Code Bare Metal PXE Boot DHCP DNS Firecracker KVM OpenStack Nutanix AHV Redhat OpenShift PaaS IaaS

What you'll do

Build and maintain development and release processes for AI Factories software.
Maintain high standards for CI/CD tools and release engineering processes.
Design, build, and implement scalable cloud-based systems for PaaS and IaaS.
Develop and improve CI/CD tools for both on-premises and cloud deployments.
Streamline software release processes in coordination with developers, QA, and product teams.
Support, maintain, and document software functionality for the DGX Cloud platform.

What we're looking for

BS or MS in Computer Science or equivalent experience from an accredited institution.
8+ years of experience in DevOps and Deployment.
2+ years of programming experience in Golang.
Expertise in Kubernetes (K8s) and KubeVirt.
Experience with Infrastructure as Code, Docker, Containers, and building RESTful web services.
Experience with Continuous Integration and Continuous Delivery tools for on-prem and cloud deployment.
Knowledge of cloud design including virtualization, global infrastructure, distributed systems, and security.
Background with Cloud Service Providers such as AWS (Fargate, EC2, IAM, ECR, EKS, Route53).
Experience bringing up bare metal in a datacenter (PXE Boot, DHCP, DNS, OS) (preferred).
Expertise in virtualization technologies like Firecracker, KVM, OpenStack, Nutanix AHV, and Redhat OpenShift (preferred).

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