Research Scientist, Systems ML - HW/SW Co-Design
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Summary
Research Scientist on Meta's MTIA (Training and Inference Accelerator) Co-Design team, shaping AI accelerator hardware through HW/SW co-design: workload characterization and performance modeling of production ML workloads (LLMs, recommendation systems, generative AI), micro-architecture definition, and pre-silicon validation.
Meta is seeking a Research Scientist for the AI & Systems Co-Design team. The candidate will have industry experience driving next-generation AI accelerator architecture through hardware/software co-design. As a member of the Meta Training and Inference Accelerator (MTIA) Co-Design team, you will leverage this expertise to influence accelerator development from workload characterization and performance modeling through micro-architecture definition to pre-silicon validation.
Your work will directly shape MTIA's hardware roadmap by translating insights from production ML workloads (large language models, recommendation systems, generative AI) into architectural decisions that improve performance, power efficiency, and cost at hyperscale. You will collaborate closely with silicon design, ML infrastructure, and product teams to ensure that the hardware we build is purpose-fit for the AI workloads of tomorrow.