Work as part of the Accelerator Reference Design Team to specify, develop, and integrate device management for Meta's custom AI hardware Collect requirements and develop specifications for AI/HPC ASIC management and debug functionality Develop and maintain code, to collect, analyze, and interpret data for accelerator fleet statistics Collaborate with cross-functional teams to develop detailed management specifications for our silicon and platforms, focusing on AI accelerator ASIC management Develop concepts and proof-of-concept experiments to improve reliability and visibility of new and existing AI accelerators Specify and Design the module and ASIC management of Meta's custom AI silicon so that it integrates well with the data centers and the fleetBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of hands-on experience in implementing management solutions for computer server systems 4+ years of designing or specifying custom silicon management Proficiency in C++ and/or Python, or equivalent Experience with general understanding of architectural trade-offs in hardware and software across cost, performance, and reliability Experience working effectively as an individual and in a multidisciplinary team Troubleshooting experience across software, firmware, hardware, and network problems 6+ years of experience in device management for high-performance custom silicon Core domain knowledge in servers and networking with experience in debugging operational problems Datacenter level tooling experience for management Experience in developing both custom hardware and software for AI/HPC Experience with system performance analysis, debug, and optimization practices 10+ years of hands-on experience in implementing device management for computer server systemsMeta builds technologies that help people connect, find communities, and grow businesses. In this role, you will have a unique opportunity to shape the future AI/HPC of Meta by specifying technical requirements for device management, driving specifications and designs for integrating device management into fleet management, and steering the industry and ecosystem partner direction.