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.

Machine Learning Hardware Architect 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.
• 10+ 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, self-motivated, proactive with demonstrated creative & critical thinking

Preferred Qualifications

• 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
• Experience to collaborate and/or lead in a team environment
• Master/PhD degree in EE/CS or equivalent areas

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$213,000/year to $293,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.