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About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea…
Hardware Design Verification Engineer at FuriosaAI responsible for defining and implementing verification plans, building test benches, and debugging design failures using SystemVerilog/UVM methodologies and EDA tools.
Designs and optimizes AI hardware architectures, focusing on performance, power, and area (PPA) metrics. Uses Verilog, EDA tools, and scripting to perform synthesis, equivalence checking, and timing analysis for chip-level designs.
Designs and executes verification strategies for AI hardware, ensuring functional correctness and coverage of block/system-level designs using SystemVerilog/UVM and Python-based tools.
Design and optimize signal/power integrity for AI hardware, running EM/circuit/system simulations and guiding chiplet/3D-IC layouts to ensure robust AI-native compute.
Designs end-to-end thermal solutions for AI hardware (NPU/ASIC to server chassis), balancing cooling methods (air/liquid/immersion) via CFD simulations and real-world testing to optimize performance and reliability.
Develops firmware/software for NPU management interfaces, handling communication between host systems and AI accelerators via protocols like MCTP/PLDM, while ensuring telemetry, health monitoring, and compliance with industry specs.
Develop and maintain Linux PCIe device drivers and kernel modules for FuriosaAI's AI-native compute platform, optimizing DMA, IOMMU, and high-performance I/O pipelines.
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
Mechanical engineer at AI chip maker FuriosaAI who designs and develops the mechanical structure of AI accelerator NPU cards, servers, and rack systems using PTC Creo — handling 3D modeling, tolerance/interference reviews, prototyping through EVT/DVT/PVT, and design-for-manufacturing (CNC, sheet metal, die casting, injection molding) alongside cross-functional teams.
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