Hardware Engineer, Accelerator Design

**Summary:** Meta is building the next generation of AI infrastructure, and the silicon that powers it is central to that mission. As a Hardware Engineer focused on accelerator design, you will contribute to the development of custom AI accelerators and high-performance compute hardware that underpin Meta's data center infrastructure at scale. In this role, you will work across digital design, power delivery, signal integrity, and board-level electrical engineering to bring accelerator systems from concept to production, directly enabling the AI workloads that power Meta's products and services. **Required Skills:** Hardware Engineer, Accelerator Design Responsibilities: 1. Design and validate electrical systems for custom AI accelerator hardware, including PCB layout review, power delivery network analysis, and signal integrity assessment 2. Develop and execute hardware bring-up plans for accelerator boards and system-level platforms in data center environments 3. Collaborate with silicon, firmware, and thermal engineering teams to define electrical requirements and resolve cross-domain design constraints 4. Perform pre- and post-silicon electrical characterization, including power rail measurements, eye diagram analysis, and high-speed SerDes validation 5. Develop and maintain electrical schematics and design documentation for accelerator subsystems 6. Support design-for-manufacturability reviews and work with contract manufacturers to resolve electrical yield and reliability issues 7. Analyze failure modes and conduct root cause investigations for electrical faults identified during validation or field deployment 8. Contribute to the definition of electrical test strategies and automated test equipment setups for accelerator hardware qualification 9. Engage with component vendors and suppliers to evaluate and qualify power management ICs, connectors, and high-speed interconnects for accelerator platforms **Minimum Qualifications:** Minimum Qualifications: 10. BS in Electrical Engineering, Computer Engineering, or a related technical discipline 11. 2+ years of experience in electrical or hardware engineering with a focus on high-performance compute, accelerator, or data center hardware design 12. 2+ years of experience with PCB schematic capture, layout review, and signal integrity analysis for high-speed digital interfaces (e.g., PCIe, DDR, HBM, or SerDes-based links) 13. 2+ years of experience with power delivery network design and analysis, including decoupling strategy, voltage regulator selection, and power integrity simulation 14. Experience with hardware bring-up, electrical characterization, and debugging using lab instrumentation such as oscilloscopes, network analyzers, and power analyzers **Preferred Qualifications:** Preferred Qualifications: 15. Exposure to hardware reliability and qualification standards relevant to data center infrastructure (e.g., JEDEC, IPC) 16. Experience using simulation tools such as SPICE, HyperLynx, or Ansys SIwave for signal and power integrity analysis 17. Experience with custom ASIC or GPU accelerator board design, including co-design with silicon teams on package and board-level electrical interfaces 18. Familiarity with thermal-electrical co-design considerations for high-TDP accelerator systems in rack-scale data center deployments **Public Compensation:** $118,000/year to $170,000/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.