Meta is seeking a software engineer to join our AI & Systems Co-Design team to drive the definition of our next-generation compute and storage architectures. As a key member of the team you'll work closely with internal software and platforms engineering teams to drive workload analysis and understand infrastructure requirements. You will drive technology path-finding, roadmap definition and 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. As part of the team, you will have ample opportunities to publish your work in leading conferences, industry journals and make open source contributions. 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.
Responsibilities
Utilize extensive understanding of hardware architecture - CPUs (x86/ARM), Flash/HDD storage systems, networking, and GPUs - to identify key platform resource bottlenecks. Collaborate closely with software product teams to re-architect services, improve performance through algorithm redesign, and reduce resource consumption.
• Develop representative benchmarks (in C++/Python/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 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 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.
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years of experience with programming & scripting languages such as C, C++, 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
Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Utilize extensive understanding of hardware architecture - CPUs (x86/ARM), Flash/HDD storage systems, networking, and GPUs - to identify key platform resource bottlenecks. Collaborate closely with software product teams to re-architect services, improve performance through algorithm redesign, and reduce resource consumption
• Develop representative benchmarks (in C++/Python/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 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 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
