Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure
NVIDIA· Engineer, Sys SW
Hybrid (US NC (Remote)), Hybrid (Austin, TX), Remote$184k - $287.5kFull-timePosted 2mo ago
About the role
Automation engineer to own the config-as-code foundation for NVIDIA's EDA compute farm, migrating from partial/manual systems to a scalable, drift-free deployment with GitOps at scale, a deployment pipeline, regression testing, and templated knowledge encoding.
Responsibilities
- Designing and owning the configuration schema for LSF cell deployment so 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 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.
Qualifications
- BS or MS in Computer Science or equivalent experience.
- 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable.
- 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 rather than only using it.
- Experience automating stateful, long-lived infrastructure where you cannot simply destroy and recreate.
Skills
Required:Configuration managementGitOpsGoPythonShell scripting
Nice to have:LSF/Slurm
Benefits
- equity
- benefits (as referenced in job description)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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