Senior Config Infra Engineer - Equity Eligible

NVIDIA

Austin (TX)

On-site

USD 184,000 - 357,000

Full time

14 days+
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Job summary

NVIDIA is seeking an automation engineer to own the config-as-code foundation for its EDA compute farm, migrating from partial systems and reconciling drift across cells in Austin, TX.

You will design the LSF deployment configuration schema, build end-to-end deployment pipelines, and stand up regression suites to enable scheduled upgrades while collaborating with the LSF internals engineer.

Qualifications

  • BS or MS in Computer Science or equivalent experience.
  • 6+ years in infrastructure engineering with strong config management depth.
  • Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback.
  • Proficiency in Go, Python and shell, and comfort building the tooling.
  • Experience automating stateful, long‑lived infrastructure where you cannot simply destroy and recreate.

Responsibilities

  • Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs.
  • Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback.
  • Eliminating configuration drift across cells, and building the tooling that keeps it eliminated.
  • Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare.
  • Working alongside our LSF internals engineer to encode hard‑won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head.

Skills

Go
Python
Shell
GitOps

Education

BS/MS in Computer Science

Tools

Ansible
Salt
Puppet
Chef

Job description

NVIDIA is seeking an automation engineer to own the config-as-code foundation for its EDA compute farm, migrating from partial systems and reconciling drift across cells in Austin, TX.

You will design the LSF deployment configuration schema, build end-to-end deployment pipelines, and stand up regression suites to enable scheduled upgrades while collaborating with the LSF internals engineer.

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