Meta is seeking an experienced ASIC Engineer to join their Infrastructure organization to build cutting-edge accelerators for data center workloads. This role presents a unique opportunity to work at the intersection of hardware architecture and machine learning, focusing on developing efficient solutions for Meta's data centers.
The position involves collaborating with AI/ML and video codec experts to architect state-of-the-art machine learning accelerators and contribute to their modeling. You'll be part of an innovative team working on "Green" data center accelerators, directly impacting the efficiency and performance of Meta's infrastructure.
As an ASIC Engineer, you'll be responsible for developing Data Center Machine Learning ASIC architecture, creating and validating performance models, and implementing reference silicon architecture models. The role requires strong expertise in silicon architecture, modeling, and development tools, combined with programming skills in languages like C++and Python.
The ideal candidate should have at least 5 years of experience in silicon architecture or related fields, with a strong educational background in Computer Science or Engineering. This role offers the opportunity to work on challenging problems at scale, contributing to the foundation of Meta's rapidly growing infrastructure.
Working at Meta means being part of a company that's pushing the boundaries of social technology, moving beyond traditional 2D screens toward immersive experiences in augmented and virtual reality. You'll be joining a team that's shaping the future of digital connection, working on projects that transcend the constraints of screens, distance, and even physics.