<p>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 are just getting started. Reality Labs focuses on delivering Meta's vision through creating advanced AI enabled wearables. The compute performance and power efficiency requirements of wearables require custom silicon. Reality Labs Silicon team is driving the state-of-the-art forward with breakthrough work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors Our chips will enable wearable 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 (ML) front-end and back-end hardware designers to drive the Physical design implementation of ML compute blocks in advanced technology nodes and develop custom methodologies to optimize the PPA of the design.</p> <p>Minimum Qualifications</p> <ul> <li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience </li><li>8+ years of experience in ASIC Physical Design </li><li>Understanding of RTL2GDSII flow and design tapeouts in 3nm or below process technologies </li><li>Experience with low power implementation, power gating, multiple voltage rails, UPF knowledge </li><li>Experience working with EDA tools like Fusion Compiler, ICC2/Innovus, Primetime, RedHawk </li><li>Experience with Python, TCL, Perl programming </li></ul> <p>Preferred Qualifications</p> <ul> <li>Experience running physical-aware logic synthesis and achieving optimal synthesis QoR on low power designs </li><li>Master/PhD degree in EE/CS or equivalent areas </li><li>Experience with custom or regular clock tree synthesis implementation at block level or top level, and clock power reduction techniques </li><li>Knowledge of static timing analysis and concepts, defining timing constraints and exceptions, corners/voltage definitions </li><li>Experience in Block-level and Full-chip floor-planning and power grid planning </li><li>Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) </li><li>Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) </li><li>Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies </li></ul> <p>Responsibilities</p> <ul> <li>Develop and own physical design implementation of multi-hierarchy low-power ML Hardware design including physical-aware logic synthesis, floorplan, place and route, static timing analysis, IR Drop, EM, and physical verification in advanced technology nodes </li><li>Resolve design and flow issues related to physical design, identify potential solutions, and drive execution </li><li>Collaborate with ML architects and designers to understand the ML workloads and develop custom physical design methodologies and recipes to optimize the PPA of ML compute datapath design blocks </li><li>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 </li><li>Travel both domestically and internationally </li></ul> <p>About Meta</p> <p>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.</p> <p>Equal Employment Opportunity</p> <p>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.</p> <p>Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.</p>