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Senior Infrastructure Automation Engineer, Compute Platform
NVIDIAInfrastructure automation engineer building NVIDIA’s config-as-code foundation for EDA compute infrastructure. Automating LSF deployment, GitOps workflows, drift prevention, and safe scheduler upgrades.
Posted 8/20/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in infrastructure engineering with a focus on configuration management, deployment pipelines, and automation. Proficient in using tools like Ansible and GitOps to ensure reliable and efficient deployment processes.
Highest-signal resume keywords
Infrastructure EngineeringConfiguration ManagementAnsibleGitOpsGo
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Configuration ManagementDeployment PipelineAutomationObservabilityCI/CDGoPythonShellLSFSlurm
Tools & Technologies
AnsibleSaltPuppetChefGitOps
Certifications & Qualifications
BS in Computer ScienceMS in Computer Science
Industry Keywords
Configuration DriftRegression SuiteBatch SchedulerTest EnvironmentsProduction
Tech Stack
Tools & technologiesAnsibleChefGoPuppetPythonSaltStack
About the role
Key responsibilities & impact- Design and own the configuration schema for LSF cell deployment
- Build the deployment pipeline from configuration merge to production across a federated estate
- Implement staged rollout and rollback
- Eliminate configuration drift across scheduler cells and build tooling to prevent recurrence
- Establish a regression suite for scheduled LSF upgrades
- Collaborate with the LSF internals engineer to encode scheduler expertise into templates and policy
- Own the config-as-code foundation for NVIDIA’s EDA compute farm end to end
Requirements
What you’ll need- BS or MS in Computer Science or equivalent experience
- 6+ years in infrastructure engineering with strong configuration-management experience
- Experience with Ansible, Salt, Puppet, Chef, or comparable tools
- Experience with GitOps at scale, including review workflow, environment promotion, drift detection, and safe rollback
- Proficiency in Go, Python, and shell
- Experience automating stateful, long-lived infrastructure
- Familiarity with LSF, Slurm, or another batch scheduler as a configuration target
- CI/CD experience for infrastructure
- Experience building test environments that meaningfully resemble production
- Observability/instrumentation experience
Benefits
Comp & perks- Equity
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