Meta AR/VR Job | ML Architect
Job（岗位）: ML Architect
Type（岗位类型）: Engineering | Hardware, Machine Learning, Research
Citys（岗位城市）: Sunnyvale, CA | Redmond, WA | Austin, TX | Remote, US
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Our 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 µArchitecture team within RL 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.
Qualifications（岗位要求）
PhD in Electrical Engineering, Computer Science or equivalent experience.
15+ years experience in silicon architecture.
Experience with ML models, algorithms or accelerator architecture.
Experience in either RTL coding or performance modeling.
Description（岗位职责）
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.
Additional Requirements（额外要求）
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).
