Silicon Engineer, EDA Infrastructure

**Summary:** Meta's Silicon Engineering team is building custom silicon solutions that power the infrastructure behind Meta's AI, data center, and next-generation computing platforms. As a Silicon Engineer focused on EDA Infrastructure, you will develop and maintain the tooling, flows, and automation frameworks that enable Meta's chip design teams to efficiently bring silicon from concept to tape-out. In this role, you will work at the intersection of software engineering and hardware design, building scalable EDA environments, optimizing design flows, and ensuring the reliability of the infrastructure that underpins Meta's custom silicon development. **Required Skills:** Silicon Engineer, EDA Infrastructure Responsibilities: 1. Develop and maintain EDA tool infrastructure, including installation, configuration, and version management of industry-standard EDA tools across the design environment 2. Build and improve automation scripts and flow frameworks that support RTL-to-GDSII design flows, including synthesis, place-and-route, and physical verification 3. Collaborate with chip design engineers to identify bottlenecks in EDA flows and implement targeted improvements to runtime, capacity, and reliability 4. Support compute and storage infrastructure used by EDA workloads, including job scheduling, license management, and distributed compute environments 5. Develop tooling to monitor EDA job health, track flow metrics, and surface actionable data to design teams 6. Assist in the evaluation and integration of new EDA tools and methodologies into existing design infrastructure 7. Write and maintain documentation for EDA flow components, infrastructure configurations, and internal tooling 8. Participate in debugging and root-cause analysis of EDA flow failures, working closely with design and CAD engineering teams to resolve issues 9. Contribute to continuous integration pipelines for silicon design flows, enabling automated regression and sign-off checks **Minimum Qualifications:** Minimum Qualifications: 10. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 11. Experience with EDA tools and design flows spanning RTL synthesis, place-and-route, static timing analysis, or physical verification 12. Experience with scripting languages such as Python, Tcl, or shell scripting for flow automation and infrastructure tooling 13. Experience working in Linux-based compute environments, including familiarity with job scheduling systems and file system management 14. Experience collaborating with hardware or chip design teams to support or improve engineering workflows **Preferred Qualifications:** Preferred Qualifications: 15. Exposure to ASIC or custom silicon design methodologies, including understanding of the RTL-to-GDSII flow 16. Experience with distributed compute environments and workload management systems commonly used in large-scale EDA deployments 17. Experience developing CI/CD pipelines or automated regression frameworks in a hardware design context 18. Familiarity with industry-standard EDA tools such as those used for synthesis, physical design, or signoff verification **Public Compensation:** $114,000/year to $141,000/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.