Production Systems Engineer, Automation

**Summary:** Meta is seeking a Production Systems Engineer, Tooling to join our Production Systems Engineering organization, where you will help drive the reliability, efficiency, and scalability of Meta's large-scale hardware infrastructure through improvements by test automation. You will design and build the systems tooling, test automation, and frameworks that keep Meta's global production fleet — spanning compute, storage, networking, and custom silicon — operating at peak performance. Working at the intersection of hardware and software, you will partner with data center operations, hardware engineering, platform teams, and ODM/vendor partners to drive systemic improvements across the full infrastructure stack. **Required Skills:** Production Systems Engineer, Automation Responsibilities: 1. Design, build, and scale test orchestration and validation tooling, CI/CD pipelines, and automation frameworks that qualify large-scale AI hardware platforms at cluster scale — spanning provisioning, monitoring, and lifecycle management of compute, storage, and networking infrastructure 2. Develop tooling for hardware lifecycle management, fleet health observability, and automated remediation of production system failures across Meta's data center fleets 3. Identify and resolve systemic reliability and performance issues by analyzing hardware telemetry, failure patterns, and system-level diagnostics at scale 4. Collaborate with hardware engineering teams to define software interfaces, firmware integration requirements, and bring-up workflows for new server and accelerator platforms 5. Lead cross-functional efforts to evaluate, qualify, and integrate new hardware technologies into the production environment, including validation and qualification workflows 6. Develop scalable infrastructure automation that reduces operational toil and accelerates hardware deployment and remediation across the global fleet 7. Mentor other engineers on systems software design, debugging methodologies, and production infrastructure best practices 8. Communicate technical designs and architectural decisions through written documentation and cross-functional stakeholder alignment **Minimum Qualifications:** Minimum Qualifications: 9. 3+ years of experience in production systems engineering or infrastructure software engineering, including development in C, C++, or Python for Linux-based environments 10. 3+ years of experience with large-scale hardware infrastructure systems, including fleet automation, hardware lifecycle management, or data center operations software 11. 3+ years of experience in designing and operating distributed systems software at scale, including monitoring, alerting, and automated remediation pipelines 12. 3+ years of experience in communicating system designs and technical decisions through written documentation and cross-functional stakeholder engagement 13. Demonstrated troubleshooting skills across hardware products and automation software **Preferred Qualifications:** Preferred Qualifications: 14. Master's Degree in Computer Science, Computer Engineering, or similar field 15. 6+ years of experience across a variety of infrastructure components such as network, and compute in a datacenter or large-scale production environment 16. 3+ years of experience in building or operating CI/CD pipelines and test automation frameworks for infrastructure software 17. Familiarity with custom silicon or accelerator platform integration, including firmware and platform management interfaces 18. Expertise guiding cross-functional teams or ODM/vendor partners through the setup, integration, and execution of automation and validation frameworks at scale **Public Compensation:** $144,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.