Machine Learning Hardware Architect

Meta•Sunnyvale, CA

About The Position

Meta’s mission is to give people the power to build community and bring the world closer together. 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. 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. Reality Labs 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 transistors, through architecture, firmware, and algorithms. In this position you will work with Machine Learning Hardware Architects, Digital Designers, and Software engineers to develop custom Machine Learning Hardware accelerators for delivery into multiple SoCs. You will collaborate with a world-class group of researchers and architects to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of experience as a Hardware Design Engineer or Silicon Architect for production silicon shipped in volume
Experience in Machine Learning IPs Silicon development
Experience in digital design µArchitecture, RTL coding
Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, area
Results oriented, proactive with demonstrated creative & critical thinking

Nice To Haves

Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs
Experience with SoC Architecture and subsystem Integration
Knowledge of industry trends and disruptive technologies
Experience with Firmware, DSP coding and optimization
Knowledge of Physical Design and Low power implementation
Collaborate and/or lead in a team environment
Master/PhD degree in EE/CS or equivalent areas

Responsibilities

Technical lead for ML Hardware engineers, driving design from Architecture through to Product for AR/VR optimized silicon
Lead designs to surpass state of the art for metrics such as compute, bandwidth and power consumption
Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
Travel both domestically and internationally