Machine Learning ASIC Engineer, Architecture

About the position

Meta is seeking an ASIC Engineer, Architecture to join our Infrastructure organization. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. By holding this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You will have an opportunity to work with AI/ML and video codec experts in the company, help architect state-of-the-art machine learning accelerators and contribute to modeling these accelerators. Come work and learn alongside our expert engineers to build "Green" data center accelerators.

Responsibilities

• Design and develop ASICs for various workloads
• Collaborate with cross-functional teams to identify and prioritize ASIC requirements
• Develop and maintain ASIC designs, including architecture, verification, and testing
• Work with AI/ML and video codec experts to develop and optimize machine learning accelerators
• Contribute to modeling and simulation of ASICs
• Drive power and performance trade-offs in ASIC design

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years of experience in either silicon architecture, silicon modeling, performance architecture, kernel development, or building tools for silicon
• Experience and knowledge of Computer Architecture, or tools for silicon development
• Experience and knowledge working in building custom silicon
• Master's or PhD degree in Electrical Engineering, Computer Engineering or related areas

Nice-to-haves

• Experience with programming languages such as C, C++, Python, or related programming languages
• Experience with tools and frameworks for silicon development, such as Verilog, VHDL, or PVR
• Experience with power and performance analysis and optimization techniques
• Experience with machine learning and AI/ML frameworks and libraries