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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…
Software engineer on FuriosaAI's MLSys team enabling frontier LLMs on the company's NPU chips: analyzing model architectures, writing and optimizing Tensor Contraction Language (TCL) kernels (attention, MoE), integrating models into the Furiosa-LLM inference stack, and validating correctness and performance. Core stack: Python, PyTorch, TCL DSL, with Rust/C++ code reading and vLLM/SGLang technique
Software engineer on FuriosaAI's compiler team in Seoul who owns the performance of critical AI kernels in Furiosa-LLM: analyzing LLM serving workloads, finding bottlenecks, and writing highly optimized kernels in TCL (Tensor Contraction Language), plus developing scheduling and specialization techniques for dynamic serving workloads.
Responsibilities Develop and maintain ROM code and early system initialization software Port and customize Arm Trusted Firmware (TF-A / TF-M) Implement system trust primitives such as Secure Boot , firmware update, and…