Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure

NVIDIA Corporation; California; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an automation engineer to own a config-as-code foundation for its EDA compute farm. You will migrate from partial systems, reconcile drift, and build end-to-end automation from policy to production.

You will design LSF cell deployment schemas, create deployment pipelines, and drive a drift-free automation strategy across a federated estate. This role focuses on tooling, templates, and robust rollback capabilities.

Qualifications

• 6+ years in infrastructure engineering with strong config management depth (Ansible, Salt, Puppet, Chef)
• Real experience with GitOps at scale: review workflow, environment promotion, drift detection, safe rollback
• Proficiency in Go, Python and shell; enjoy building tooling, not just using it
• Experience automating stateful, long-lived infrastructure where you can’t destroy/recreate
• BS or MS in Computer Science or equivalent experience

Responsibilities

• Design and own the configuration schema for LSF cell deployment, ensuring policy changes are written once and applied identically across cells
• Build deployment pipelines to move scheduler configuration from merge to production across a federated estate with staged rollout and rollback
• Eliminate configuration drift across cells and create tooling to keep it eliminated
• Stand up a regression suite so LSF upgrades can be made on a schedule
• Collaborate with LSF internals engineer to encode scheduler knowledge into templates and policy in the repository

Skills

Go

Python

Shell

GitOps

Infrastructure automation

Education

BS/MS in Computer Science or equivalent

Tools

Ansible

Salt

Puppet

Chef

Job description

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. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository.

What You'll Be Doing

• 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.

What We Need To See

• 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.

Ways To Stand Out From The Crowd

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 17, 2026.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.