Senior Infrastructure Automation Engineer, Compute Platform

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $236k
$110k most similar roles pay here $306k

This role pays more than 84% of similar roles. Most pay $144,350–$222,125 — the shaded band above. At the midpoint, this role pays about $236k versus about $183k 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 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Senior Infrastructure Automation Engineer, Compute Platform

As a Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure, you will join the team to own the config-as-code foundation for the EDA compute farm. You will migrate partially manual systems toward a unified configuration schema for LSF cell deployment, ensuring policy changes are applied consistently across a federated estate. Your daily responsibilities include building deployment pipelines with staged rollouts and rollbacks, eliminating configuration drift through custom tooling, and establishing regression suites for scheduled upgrades. You will collaborate with internal engineers to encode scheduler knowledge into templates. The role requires expertise in Ansible, Salt, Puppet, or Chef, alongside proficiency in Go, Python, and shell scripting. You must possess experience in GitOps practices, CI/CD for infrastructure, and automating stateful, long-lived systems while managing batch schedulers like LSF or Slurm to solve complex scalability issues.

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