Meta is seeking an ASIC Engineer, Design to join our Infrastructure organization to build cutting edge ASICs in fields such as machine learning, video transcoding and network acceleration. This organization is responsible for building and maintaining the data centers that host all of our services - Facebook, Instagram, WhatsApp etc. These servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. In 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 experts in the domain of video transcode, AI/ML and other technologies to evaluate algorithms, develop functional and performance models and help architect state-of-the art hardware accelerator ASICs. Come work and learn alongside our expert engineers to build “Green” data center accelerators.
ASIC Engineer, Design Responsibilities
Participate in Micro-architecture, Design, and Verification reviews and provide feedback
Design and develop RTL or HLS code for some of the IPs
Analyze designs and enhance PPA (Power, Performance, Area)
Support and develop Verification Infrastructure, analyze and improve Verification Coverage
Support Simulation accelerators and post-Silicon validation
Minimum Qualifications
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, Electronics Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Exposure to Micro-architecture development
Exposure to RTL development using Verilog, System Verilog or HLS
Knowledge of Computer Architecture and Logic Design fundamentals
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
Experience with High Performance Computing
Experience with Lint, CDC, Synthesis, & Power Optimization
Currently has, or is in the process of obtaining, a Masters degree in Electrical Engineering, Computer Engineering or related engineering fields
Experience in data path development
Experience in HLS
Scripting capability with Python or Perl