Role Overview
Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end.
About Nvidia
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.
Key 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
Requirements & Eligibility
- 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
Required Skills & Tech
AnsibleSaltPuppetChefGitOpsGoPythonShellLSFSlurmCI/CD