Meta is seeking an experienced ASIC Engineer to join their Infrastructure organization to build accelerators for top workloads enabling efficient data center operations. 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 is integral to Meta's mission of building "Green" data center accelerators.
The role combines hardware architecture expertise with machine learning applications, focusing on developing and validating ASIC architectures for data center workloads. You'll be working at the intersection of silicon design and machine learning, helping Meta optimize its infrastructure for AI applications.
As an ASIC Engineer, you'll be responsible for developing architecture, algorithms, and models for Data Center Machine Learning ASICs. This includes analyzing workloads, mapping them to ASIC architecture, and creating performance models for validation. The role requires strong technical skills in computer architecture, silicon development, and programming languages like C++/Python.
Meta's infrastructure team is at the forefront of developing custom silicon solutions for some of the world's largest social technology platforms. This position offers the opportunity to impact the efficiency and performance of Meta's data centers while working on cutting-edge machine learning hardware acceleration technologies.
The ideal candidate will bring both technical expertise in ASIC development and a passion for optimizing machine learning workloads at scale. You'll be joining a company that's pushing boundaries in social technology and moving beyond traditional platforms into immersive experiences like AR and VR.