Meta AR/VR Job | Machine Learning Engineer
Job（岗位）: Machine Learning Engineer
Type（岗位类型）: Engineering | Hardware
Citys（岗位城市）: Sunnyvale, CA | Redmond, WA | Austin, TX | Remote, US
Facebook Reality Labs (FRL) focuses on delivering Facebook’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. 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 µArchitecture team within FRL and are seeking engineers at all levels who will work with a world-class group of researchers and engineers using your skills to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.
BS Electrical Engineering, Computer Science or equivalent experience.
8+ years experience as a Silicon Architect.
Experience with ML models, algorithms or accelerator architecture.
Experience in either RTL coding or performance modeling.
Develop software tooling/methodologies for efficient design of ML accelerators.
Work closely with Compiler and ML Researchers to enhance machine learning acceleration capabilities.
Assist with performance/power analysis of machine learning models.
Work closely with System Architects to enable new ML use cases.
Work with FPGA engineers and firmware teams to perform early prototyping.
Algorithmic modeling of machine learning workloads.
MS in Electrical Engineering or Computer Science.
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).