Senior Software Engineer, DGX Cloud Production Engineering

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $194k

$140k $245k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $160,737–$226,800.

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 1623 open roles on FindRole.

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

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, DGX Cloud Production Engineering

Role Posting Log in to save

The Senior Software Engineer, DGX Cloud Production Engineering joins a team focused on bare-metal infrastructure to build and operate large-scale GPU clusters for AI research and production workloads. You will develop automation, tooling, and operational systems to ensure cluster reliability, scalability, and safety across NVIDIA Cloud Partners and on-prem environments. Daily responsibilities include building services for provisioning, validation, upgrades, monitoring, and repair while improving Day 0 through Day 2 workflows. You will reduce manual touches using APIs, GitOps, and agent-assisted workflows while participating in on-call incident response. Required skills include Python, Go, Linux, Kubernetes, containers, and cloud infrastructure. You must be able to troubleshoot distributed systems and manage GPU fleets using Datacenter Inventory Management Systems like Netbox or Nautilus.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

Kubernetes Python Go GitOps Terraform ArgoCD Linux Containers GPU Infrastructure Netbox Nautilus Distributed Systems Bare-metal Message Bus Workflow Engine Observability SLOs

What you'll do

Build and operate automation for large-scale GPU clusters across cloud and on-prem environments.
Develop tools and services for provisioning, validation, upgrades, monitoring, and cluster lifecycle operations.
Improve Day 0, Day 1, and Day 2 workflows for cluster bringup and production operations.
Reduce manual production touches using APIs, GitOps, and agent-assisted workflows.
Participate in on-call rotations, incident response, and debugging of distributed systems.
Partner with platform, storage, networking, and security teams to make infrastructure production-ready.
Manage bare-metal infrastructure including BMS and power management.

What we're looking for

8+ years of experience building or operating production infrastructure.
Strong programming skills in Python, Go, or similar.
Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
Ability to troubleshoot distributed systems in production.
BS/MS in Computer Science or equivalent experience.
Experience managing GPU Fleets.
Expertise in BMS & Power management.
Experience working with Datacenter Inventory Management Systems like Netbox or Nautilus.
Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation (preferred).
Experience with SLOs, on-call, incident response, observability, and reliability practices (preferred).
Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure (preferred).
History of involvement with Automated Break-Fix solutions at scale (preferred).
Familiarity with handling a Message Bus and Workflow Engine (preferred).