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Facebook ASIC Engineer, Architecture in Sunnyvale, California
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Facebook 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 video transcoders and contribute to modeling these accelerators. Come work and learn alongside our expert engineers to build “Green” data center accelerators.
Work on advanced architecture, algorithms and models targeting either video compression or Machine Learning solutions
Analyze and map data center workloads to ASIC architecture, as well as develop performance and functional models to validate the architecture
Implement and analyze algorithms and enhanced architecture for the data center accelerators
Implement various models needed for the validation of the accelerators
Bachelor's degree in Electrical Engineering, Computer Engineering or related areas
15+ years experience and knowledge of Computer Architecture concepts such as processor architecture, memory systems and on-chip interconnection networks
Programming in C, C++ or related Object Oriented Programming
Experience and knowledge in one of the following areas - machine learning architectures, Digital Signal Processing or video codecs
Master’s or PhD degree in Electrical Engineering, Computer Engineering or related areas
Experience driving power and performance trade-offs
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at email@example.com.