Facebook Reality Jobs (NOW HIRING)

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.
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
Minimum Qualifications
• 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
Preferred Qualifications
• Master/PhD degree in EE/CS or equivalent areas
• Knowledge of Physical Design and Low power implementation
• Experience with Firmware, DSP coding and optimization
• Collaborate and/or lead in a team environment
• Experience with SoC Architecture and subsystem Integration
• Knowledge of industry trends and disruptive technologies
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.