Meta is seeking an experienced ASIC Engineer to join their Infrastructure organization to build accelerators for top workloads in their data centers. This role offers a unique opportunity to work with AI/ML and video codec experts, architecting state-of-the-art machine learning accelerators and contributing to their modeling. The position focuses on developing green data center accelerators, combining hardware expertise with Meta's mission to build efficient infrastructure.
The role involves deep work in ASIC architecture, particularly focused on Machine Learning applications in data centers. You'll be responsible for developing and validating architectures, creating performance models, and implementing reference designs. This position sits at the intersection of hardware engineering and machine learning, requiring both technical depth and strategic thinking about power and performance trade-offs.
Meta's infrastructure team is fundamental to the company's ability to serve billions of users across Facebook, Instagram, WhatsApp, and their emerging AR/VR platforms. As an ASIC Engineer, you'll be contributing directly to the next generation of hardware that powers these services, with a particular focus on machine learning acceleration and energy efficiency.
The ideal candidate will bring strong experience in silicon architecture or modeling, combined with programming skills and an understanding of computer architecture. This role offers the opportunity to work on cutting-edge hardware solutions while contributing to Meta's mission of connecting people and building the future of social technology.