Vision Architect, RL Silicon

Meta's Reality Lab Silicon organization is seeking a Vision Architect to define the long-term technical direction for vision and imaging processing capabilities within custom silicon solutions for wearables. In this role, you will establish the architectural vision for computer vision processing units, image signal processors, and related compute subsystems, driving alignment across silicon design, software, and systems teams. You will shape multi-generation silicon roadmaps that enable Meta's wearables at scale, partnering with research, hardware, and product organizations to translate emerging vision workloads into silicon architecture requirements.Define and own the multi-generation architectural vision for computer vision and image processing subsystems within custom SoCs, including ISP pipelines, computer vision accelerators, and associated memory hierarchies Establish microarchitectural frameworks and design principles for vision processing engines, balancing performance, power, area, and programmability tradeoffs Drive architectural exploration and feasibility studies for next-generation vision workloads, including computer vision inference, video analytics, and real-time image processing on wearable devices Develop and maintain architectural specifications, performance models, and design guidelines that serve as the foundation for RTL implementation and verification teams Collaborate with AI research and software teams to characterize emerging vision workloads and translate computational requirements into silicon architecture decisions Lead cross-functional architecture reviews spanning design, verification, physical implementation, and post-silicon validation to ensure architectural intent is preserved through the full development cycle Define performance benchmarks and silicon KPIs for vision processing subsystems, driving alignment on success criteria across hardware and software stakeholders Evaluate and influence industry trends, emerging standards, and third-party IP strategies relevant to vision and imaging silicon to inform build-versus-buy decisions Mentor other architects and engineers across the silicon organization, establishing architectural best practices and review processes for vision subsystem development Partner with post-silicon and systems teams to validate architectural assumptions, incorporate learnings into future roadmap decisions, and drive first-pass silicon successBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12+ years of experience in silicon architecture, algorithm development, or hardware design with a focus on computer vision, imaging, or video processing subsystems Experience developing cycle-accurate or transaction-level performance models for vision or imaging processing engines Experience in driving architecture definition across full silicon development cycles, from concept through post-silicon validation, for wearable applications Experience collaborating with AI, computer vision, or machine learning teams to map algorithmic workloads onto custom silicon architectures Experience architecting computer vision and imaging processing subsystems for AI inference acceleration, including integration with neural network accelerators or tensor processing pipelines Experience influencing multi-generation silicon roadmaps through written architectural proposals and executive-level technical communication Experience with software-hardware co-design and developing models that interact with low-level system components Experience with designing image processing or computer vision algorithms optimized for specialized hardware such as GPUs, DSPs, or custom ASICsMeta 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 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 .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 .