About this role
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, memory and 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, reduce resource consumption
Develop representative benchmarks (in C++/Rust/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 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 adoption
Qualifications
Bachelor'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. Hands-on experience in building and optimizing server architectures/systems