Meta AR/VR Job | Machine Learning Hardware Accelerator Architect (PhD) | Oculus
Type（岗位类型）: Hardware | Machine Learning
Citys（岗位城市）: Sunnyvale, CA | Redmond, WA | Austin, TX
Facebook Reality Labs (FRL) focuses on delivering Facebook’s vision through Virtual Reality (VR) and Augmented Reality (AR). The computer performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. The 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 & 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, firmware, and algorithms.
We are growing our ASIC Design and Architecture team within FRL and are seeking engineers at all levels who will work with a world-class group of researchers and engineers to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.
Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Experience with ML models, algorithms or accelerator architecture
Experience in either RTL coding or performance modeling
Must obtain work authorization in 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 Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture and AR/VR use cases. Many of these would be first time solutions in the industry
Work across hardware and software, to solve deep co-design problems with other Research scientists working in this area
Attend conferences/interpret papers and stay updated with latest research advancements in the field of ML acceleration
Experience with ML, graphics or computer vision accelerator
Experience with TensorFlow, PyTorch, or similar machine learning toolsets
Experience with at least one procedural programming language (C, C++, Python etc.)
Experience in ASIC design flow (Design, Verification, Integration, Synthesis)
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
Experience working and communicating cross functionally in a team environment