AI System SW/HW Co-design team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system such as models, algorithms, numerics, performance and AI hardware including compute, networking and storage. In essence, we drive the AI HW roadmap at Meta and ensure our existing and future AI workloads and software are well optimized and suited for the hardware infrastructure. Meta is seeking Research Scientist Interns to join our AI & Systems Co-Design HPC & Inference team to drive the definition of our next-generation AI Systems Inference and Training architectures. The team works across HW types (GPUs, ASICs), workload types (Recommendation Models, LLM, LDM) and workloads (Training & Inference). The team drives innovation on: - Low precision Numerics for Training & Inference - ML operator / Kernel optimizations for Training & inference - Inference E2E performance - Model, SW, System, Accelerator - Performance modeling and simulations - HPC Software Optimizations - GPU / ASIC optimizations - Software libraries, models, and frameworks In this role, you will work cross-functionally with internal software and platforms engineering teams to understand the workloads and infrastructure requirements. You will drive technology path-finding, roadmap definition and co-design activities to deliver new capabilities and efficient systems for our fleet. You will also 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. Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.