Senior Software Engineer, DGX Cloud Production Engineering
NVIDIA Corporation · Santa Clara, CA
$184,000–$356,500from the description
Jul 13, 2026
Santa Clara, CA
Jul 20, 2026
What this job asks for AI summary
A production engineering role focused on building and operating large-scale GPU cluster infrastructure. Day-to-day work involves developing automation, tooling, and services for cluster provisioning, lifecycle management, monitoring, and repair across cloud and on-premises environments using Kubernetes, GitOps, and related technologies. Suited to engineers with deep experience in production infrastructure, distributed systems, and infrastructure automation.
Senior level · 8+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 17,500 people nationally plausibly meet what this posting asks for (software developers). range 10,500–26,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting advertises two salary bands: $184,000–$287,500 (Level 4) and $224,000–$356,500 (Level 5). The pay band fields reflect the full combined range across both levels.
Degree requirement is listed as 'BS/MS in Computer Science or equivalent experience' — equivalent experience is explicitly accepted, so no formal degree is hard-gated.
Python and Go are presented as interchangeable ('Python, Go, or similar'); Python is listed as the primary with Go in alternatives.
GitOps, Terraform, ArgoCD, Kubernetes operators, GPU infrastructure, and observability all appear under the 'Ways to stand out from the crowd' section — treated as preferred, not required.
The role builds automation, tooling, and services (shipping code) for GPU cluster infrastructure, making 15-1252 Software Developers the primary classification; 15-1244 is noted as a runner-up given the strong operational/on-call component.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.