Senior Software Engineer, DGX Cloud Production Engineering

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k

This role $236k

$122k most similar roles pay here $305k

This role pays more than 87% of similar roles. Most pay $155,050–$226,200 — the shaded band above. At the midpoint, this role pays about $236k versus about $191k 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 1391 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.

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At a glance

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

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As a Senior Software Engineer, DGX Cloud Production Engineering, you will join the production engineering team to build and operate automation, tooling, and operational systems for large-scale GPU infrastructure. You will develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations across NVIDIA Cloud Partners and on-prem environments. Your daily work involves improving Day 0 through Day 2 workflows, reducing manual production touches via APIs, GitOps, and agent-assisted workflows while participating in incident response and debugging. The role requires proficiency in Python, Go, Linux, Kubernetes, containers, and infrastructure automation. You will solve technical challenges regarding the reliability and scalability of GPU clusters for AI research and production workloads. Key technologies include Terraform, ArgoCD, and fleet automation to ensure infrastructure is production-ready across complex distributed systems.

What does a Software Engineer earn in California?

Median $214000 from 925 postings across 71 companies.

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Skills

Kubernetes Python Go GitOps Terraform ArgoCD Linux Cloud Infrastructure GPU Infrastructure Distributed Systems Observability Infrastructure Automation BMaaS VMaaS

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 repair of cluster operations.
Improve Day 0, Day 1, and Day 2 workflows for cluster bringup and production handoff.
Reduce manual production touches through 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.

What we're looking for

8+ years of experience building or operating production infrastructure.
Strong programming skills in Python, Go, or similar languages.
Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
Ability to troubleshoot distributed systems in production environments.
Clear communication and ability to work across teams.
BS/MS in Computer Science or equivalent experience.
Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation (preferred).
Experience with SLOs, on-call, incident response, observability, reliability practices, BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure (preferred).