Facebook Silicon Performance Architecture Intern (PhD) in Redmond, Washington
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 Agile Silicon Team (FAST) focuses on delivering Facebook's vision through Augmented Reality (AR). Compute power requirements of Augmented Reality require custom silicon. FAST is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, and new ways to map the human body. Our chips will enable AR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistor, through architecture to firmware and algorithms.FAST is looking for a Silicon Performance Architecture Intern who will work with a world-class group of engineers. The ideal candidate will understand the performance tradeoffs for various compute, memory and interconnect components in the context of heterogeneous systems with traditional CPU, GPU components and custom accelerators.
Carry out performance & power architecture exploration through detailed modeling and analysis of custom compute components, shared interconnect in a heterogeneous multi-agent system and/or shared cache/memory subsystem in a heterogeneous multi-agent system
Explore new methodologies to rapidly explore a vast design space from a performance/power standpoint
Understand the tradeoffs between general purpose and custom compute mechanisms
Understand the data flow paths, working set sizes, access patterns of different general purpose vs. custom compute components
QoS, latency and throughput analysis in heterogeneous platforms with multiple agents with competing resource requirements
Add support for measuring power in the model
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field
1+ years experience in software design with C++
1+ years experience in performance modeling and architectural exploration methodologies
Intent to return to degree-program after the completion of the internship/co-op
Experience in tackling and solving challenging performance bottlenecks
Experience in the analysis and exploration of heterogeneous multi-agent platforms
Interpersonal experience: cross-group and cross-culture collaboration
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.
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