**Summary:** The Infra Silicon team at Meta is responsible for designing and building in-house hardware accelerator Application-Specific Integrated Circuits (ASICs) to enhance Meta's computing with superior capacity and efficiency at lower power and cost. The team focuses on creating domain-specific System on Chips (SoCs) that enable Meta's data centers to execute computationally-intensive workloads, such as video transcoding and AI/ML, with higher performance and lower energy consumption. They are organized into several key areas, including architecture & algorithms, design & micro-architecture, design verification, implementation & backend design, emulation/prototyping, and system on chip (SoC), which collaborate extensively with other teams to deliver comprehensive solutions for various technical domains. **Required Skills:** ASIC Engineer, Accelerator Systems Responsibilities: 1. Design, develop, and maintain Linux device drivers/kernel modules, user-space drivers, user-space libraries and APIs, system services and daemons to support the ASIC 2. Develop diagnostics tools to troubleshoot and debug issues with the ASIC and related software components 3. Optimize and benchmark the performance of the ASIC and related software components 4. Collaborate with hardware engineers to understand the ASIC architecture and design 5. Collaborate with software engineers to integrate the ASIC into the overall software stack 6. Participate in code reviews and contribute to the development of best practices 7. Stay up-to-date with the latest developments in Linux kernel development and related technologies **Minimum Qualifications:** Minimum Qualifications: 8. BS/MS in Computer Science, Electrical Engineering or a related field and/or equivalent experience 9. 6+ years of experience in Linux systems development and C/C++ programming 10. Experience of developing diagnostic/telemetry tools and RAS features 11. Experience with Linux kernel internals, device drivers, and kernel modules 12. Experience with user-space driver development and API design 13. Knowledge of computer architecture and hardware design principles 14. Experience with performance optimization and benchmarking **Preferred Qualifications:** Preferred Qualifications: 15. Experience with AI accelerator ASICs (Application-Specific Integrated Circuits) 16. Experience with continuous integration and continuous deployment (CI/CD) pipelines 17. Experience with performance optimization and benchmarking 18. Experience of developing RAS (Reliability, Availability, and Serviceability) features for a product 19. Problem-solving skills and independent work **Industry:** Internet