Facebook Computer Vision Silicon Architect in Helena, Montana
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 Reality Labs focuses on delivering Facebook's vision through Augmented Reality (AR) and Virtual Reality (VR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Facebook Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR and VR 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.
We are seeking a Computer Vision Silicon Architect who is excited about introducing ground breaking capabilities in the fields of computer vision, machine-learning and imaging, through the development of specialized HW components, and the adaptation of algorithms to HW implementation. The successful candidate will be required to architect custom ICs/ASICs in close collaboration with the groups developing the algorithms, system software and SoCs.
This is a full-time position based in our Menlo Park campus, CA.
Study state of the art algorithms in the field of computer vision, machine learning and imaging, come up with appropriate SW-HW partitioning, provide architecture and specifications for HW implementation
Come up with new algorithms, or adaptations to existing algorithms, that will enable new ground-breaking capabilities through HW implementation
Implement and test architecture and specifications, to assure correctness and consistency with the algorithm
Support all phases of Silicon SoC development from early definition on through architecture & specification, design, verification, prototyping and SOC bring-up
Collaborate closely with algorithm developers, SoC architects and designers to support the realization of the necessary hardware to enable innovative AR/VR experiences
Contribute to execution of our silicon technology and compute roadmap to make beyond state-of-the-art advances in performance, power consumption and form factor
Assess and recommend emerging technologies through close partnership with external, industry leading suppliers
3+ years of experience in digital IC architecture or design supporting computer vision, machine learning or image processing use cases
Knowledge in the field of computer vision, machine learning and image processing
Experience with methods for partitioning a solution across hardware and software, and other multi-disciplinary boundaries in a system solution
Experience with C++ code and hands-on coding for the purpose of developing and testing HW architecture
Experience with fixed-point arithmetic
Experience evaluating architectural tradeoffs in speed, performance, power, area
Experience working in the consumer electronics field
Bachelor’s EE/CS or equivalent
Experience in developing algorithms for computer vision/machine learning/image processing use cases
Proficiency in C/C++ programming
Experience in advanced ASIC/SoC design methodologies
Experience with top down high-level-model to HW mapping
Master’s or PhD in EE/CS
Knowledge of industry trends and disruptive technologies
Results oriented, self-motivated, proactive with demonstrated creative & critical thinking skills
Ability to operate autonomously, with only high-level direction
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.