Compute Platform Automation Engineer - GitOps & Config-as-Code

Nvidia Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking an Automation Engineer to own end-to-end config-as-code for our EDA compute farm. You’ll migrate from partial, drifting configurations to a unified, audited deployment across a federated estate and write templates and policy to codify expertise.

You will design deployment pipelines, eliminate drift, and stand up regression tests so LSF configurations can be upgraded on a schedule with safe rollbacks, escalating reliability and scale.

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.

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 at scale

Config management

Education

BS or MS in Computer Science

Tools

Git

LSF

Job description

NVIDIA is seeking an Automation Engineer to own end-to-end config-as-code for our EDA compute farm. You’ll migrate from partial, drifting configurations to a unified, audited deployment across a federated estate and write templates and policy to codify expertise.

You will design deployment pipelines, eliminate drift, and stand up regression tests so LSF configurations can be upgraded on a schedule with safe rollbacks, escalating reliability and scale.