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As a key member of the team you'll work closely with internal software and platforms engineering teams to drive architectural analysis of workloads and understand their infrastructure requirements. You will drive technology path-finding, roadmap definition and HW/SW co-design activities to deliver new capabilities and efficient systems for our fleet. Furthermore, you'll work with external industry partners to influence their roadmaps and build the best products for Meta’s Infrastructure. Join our team and help shape one of the largest infrastructure footprints which powers Meta’s applications used by billions of people across the globe.
Job Responsibility:
Utilize extensive understanding of CPUs (x86/ARM) to identify key platform resource bottlenecks. Collaborate closely with software product teams to re-architect services, improve performance through algorithm redesign, reduce resource consumption
Develop representative benchmarks (in C++, Python, and/or Hack) to capture fleet requirements and drive early evaluation of upcoming platforms. Drive fleet-wide detailed workload analysis and keep ahead of evolving business needs and its impact to compute fleet
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 roadmap definition
Influence vendor hardware roadmap and 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 adoption
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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
Experience with programming and scripting languages such as C, C++, Java, PHP, Python
5+ years of experience with hardware architecture, compute technologies and/or storage systems
Nice to have:
Master’s degree or PhD in Computer Science, or a related technical field
Demonstrated Architectural understanding of CPU, Memory subsystems, Accelerators, Networking, Flash and/or HDD Storage systems
Experience with large-scale infrastructure, distributed systems, full stack analysis of server applications