Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure

• 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.
• 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.
• You have brought a manually administered estate under configuration management while it stayed in production.
• Familiarity with LSF, Slurm, or another batch scheduler as a configuration target.
• CI/CD experience for infrastructure, including test environments that meaningfully resemble production.
• Observability instincts — you instrument what you automate.
• You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until October 1, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

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