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SoC Performance Architect for AI Wearables
Silicon performance architect at Meta Reality Labs leading performance modeling and HW-SW co-design for advanced SoCs in wearable AI hardware: analyzing bottlenecks, modeling IPs and memory, and optimizing architectures across teams. Core stack: C/C++, SystemC, Python, SoC NoCs/QoS, and cycle-accurate frameworks.
Silicon Performance Architect, Reality Labs
Architecture role on Meta Reality Labs' custom silicon team, defining compute performance and power efficiency for chips powering AI-enabled AR/VR wearables. Work spans AI, machine learning, computer vision, graphics, displays, and sensors.
Software Engineer, Systems Ml - Compilers
At Meta Reality Labs, you'll architect and build a clean-slate ML compiler toolchain for custom AI silicon used in AR/VR wearables — designing IRs, optimization passes, and LLVM/MLIR-based compilation of PyTorch models down to optimized binaries for edge accelerators. Core stack: C++, LLVM/MLIR, PyTorch, and hardware co-design.