This position focuses on the physical design implementation of multi-hierarchy low-power machine learning hardware at Meta, particularly related to advanced technology nodes. The role demands a strong background in ASIC design and a collaborative approach to work with hardware designers in optimizing compute blocks for efficiency.
The candidate should have significant experience, with a minimum of 8 years in ASIC Physical Design. Extensive knowledge of RTL to GDSII flow and working with advanced process technologies, particularly at 3nm or below, is essential.
Candidates must possess a Bachelor's degree in Computer Science, Computer Engineering, or a similar field, along with practical experience in ASIC design. Proficiency in using EDA tools and programming languages such as Python and TCL is also required.
A Bachelor's degree in a relevant technical field is required. A Master's or PhD is preferred but not mandatory.