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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…
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.
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.
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 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.
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.
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 AI-native hardware architectures and RTL implementations for high-performance, energy-efficient AI chips, focusing on chip modules, simulation, and optimization for power, timing, and area.
As an AI Research Engineer Intern at FuriosaAI, you will conduct research on advanced AI models, focusing on areas like LLMs and RL, and contribute to the development of a proprietary AI compute platform. You will work with PyTorch and other deep learning tools to build high-performance AI solutions.
AI Research Engineer developing proprietary LLMs for agentic tasks, RL post-training pipelines, and frontier AI research at a Korean AI chip company, primarily using PyTorch and deep learning frameworks.
Full Stack Software Engineer building backend services and Angular/React.js frontend for UJET's AI-powered cloud contact center platform in Seoul, using Node.js, JavaScript, Ruby on Rails, MySQL, and Redis.
General Information Location Work at Home Job ID 12975 Job Category Customer Service Representative (CSR) Language Requirement English, Korean Description & requirements Description At Transcom, people are the…
Hands-on Principal Engineer owning technical direction and execution for major products and systems (backend, frontend, APIs, databases, infrastructure) at KIRA, a Southeast Asian insurance and financial platform used by millions.
The Lead Software Engineer will own the technical direction and execution for major financial products, designing scalable systems and writing code while mentoring the engineering team. This hands-on role requires deep expertise in full-stack development and distributed systems to help build next-generation financial applications.
Hands-on Staff Software Engineer owning technical direction and execution for major products at KIRA, a mobile-first insurance/fintech platform. Responsibilities span system design, coding, and architecture across backend, frontend, APIs, databases, and infrastructure at scale.
About KIRA Our mission is to make money smart, reliable and within reach for everyone. In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region.…
Technical Product Manager owning a vertical end-to-end for an AI-powered finance app—shaping technical design around money movement, applying LLM-based AI features, and navigating regulatory constraints in a distributed global team.
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