[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Multiple locations # Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure Multiple locations Senior individual contributor IT & Infrastructure Listed on NVIDIA’s official careers site. Posted October 16, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-NC-Remote/Senior-Infrastructure-Automation-Engineer--Compute-Platform_JR2023962) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure ## 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. #LI-Hybrid 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 October 14, 2026. This posting is for an existing vacancy. 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. ## At a glance - Posted by the employer: Oct 16, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-NC-Remote/Senior-Infrastructure-Automation-Engineer--Compute-Platform_JR2023962) ## More jobs at NVIDIA ### [AI Infrastructure and Frameworks Intern, Cosmos Lab - 2027](https://jobs.opennash.com/companies/nvidia/jobs/bbd5d2ea70b44899dc98/) ### [APAC IT Director](https://jobs.opennash.com/companies/nvidia/jobs/118fbe66f116a26a6fae/) ### [Distinguished Engineer - Wireless Infrastructure](https://jobs.opennash.com/companies/nvidia/jobs/8ceec8eb8f938ee6f9af/) ### [Infrastructure Solutions Architect - OEM](https://jobs.opennash.com/companies/nvidia/jobs/af5d7ff53985418898ee/) ### [Senior Compute Platform Engineer, LSF - EDA Infrastructure](https://jobs.opennash.com/companies/nvidia/jobs/658464e9ccb9525c0be9/) ## Similar jobs at other companies ### [Senior Data Engineer - AI Infrastructure Integration, High Performance Compute](https://jobs.opennash.com/companies/bank-of-america/jobs/5476885c76d6e85eff0a/) Bank of America ### [Staff Systems Engineer – Compute Infrastructure](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/a401014b062ccaeeda8f/) Thermo Fisher Scientific · Eindhoven, Netherlands ### [Senior Infrastructure Engineer - Streaming Compute](https://jobs.opennash.com/companies/shopify/jobs/ef33ffa93e9e78893b1a/) Shopify ### [Staff Infrastructure Engineer - Streaming Compute](https://jobs.opennash.com/companies/shopify/jobs/50212ee6f33af2864113/) Shopify ### [Software Development Engineer II, Infrastructure Supply Chain Automation, Infrastructure Supply Chain Automation](https://jobs.opennash.com/companies/amazon/jobs/4a498ca66a271cc05b11/) Amazon · IN, KA, Bengaluru [IT & Infrastructure jobs](/functions/it-infrastructure/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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