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Build and refine AI-assisted engineering workflows for FuriosaAI’s compiler team, optimizing development, debugging, and CI using LLM tools and automation to boost team productivity.
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…
Builds and maintains AI-native compute infrastructure for FuriosaAI’s NPU-based systems, focusing on reliability, observability, and automation to ensure scalable, secure, and efficient production services.
Leads silicon validation for NPU SoC chips, ensuring system-level functionality from first silicon bring-up to performance optimization and stability. Bridges hardware (RTL/DV) and software (firmware/OS) teams with structured validation processes, debugging, and test automation.
Validates NPU SoC hardware for FuriosaAI, ensuring first-silicon bring-up, system-level debugging, and performance optimization across AI compute components like NPU cores, CPUs, and high-speed interfaces.
Designs AI-native SoC architectures and RTL for high-performance, energy-efficient AI compute hardware, collaborating with verification, physical implementation, and silicon bring-up teams to ensure optimal performance and manufacturability.
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.
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