Drive fleet-wide detailed workload analysis and keep ahead of evolving business needs and impact to compute and storage performance Identify novel hardware/software co-design opportunities based on industry trends and new paradigms Conduct pathfinding activities to quantify the value proposition for Meta and drive the roadmap definition Influence vendor hardware roadmaps and the broader ecosystem to align with Meta's requirements Partner with Product Engineering and Infrastructure Engineering teams to find the optimal way to deliver the hardware roadmap into production and drive adoptionBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science or equivalent technical experience 5+ years of experience with programming and scripting languages such as C, C++, Rust, Java, PHP, Python Experience with large-scale infrastructure, distributed systems, full-stack analysis of server applications 5+ years of experience with hardware architecture, compute technologies and/or storage systems Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with developing, debugging and analysis of distributed systems such as spark, distributed caching, data-preprocessing, AI training etc Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience working in a highly cross-functional environment in software organizations, hardware, supply chain, testing, and infrastructure teams Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Master's degree or PhD in Computer Science, or a related technical field 3 years of experience in a technical leadership role, leading projects, driving technical direction and mentoring Deep architectural knowledge of CPU, GPU, Accelerators, Networking, Memory, Flash/HDD Storage systems, DPU. Collaborate closely with software product teams to re-architect services, improve performance through algorithm redesign, reduce resource consumption Develop representative benchmarks (in C++/Rust/Python/Hack) to capture fleet requirements and drive early evaluation of upcoming platforms.