Edge AI / Embedded AI Development Tool Engineer

Аналитика рынка

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Описание

【Background】 Edge AI is one of Renesas’s key secular growth areas.Within this domain, Reality AI delivers advanced AI for sensing applications and is a critical solution that will also support the newly evolving Renesas365 platform. Our team is strengthening the development of solutions for Edge AI, and we are looking for individuals who can drive the development of AI tools. In this role, you will simplify customers' AI software development and make cutting-edge Edge AI accessible and practical, creating a highly rewarding opportunity to drive real-world impact. 【Job Description】 Technical Domain: Development tools for Embedded AI (PC-based tools and cloud-based tools) Target Products: Reality AI, Renesas365 Project Overview: You will develop tool products that enable deployment of AI models onto embedded devices, as well as visualization and tuning of their performance and results. The role requires consideration of resource constraints typical of embedded systems (such as performance and memory), along with designing intuitive and user-friendly UIs that allow engineers to proceed with development smoothly and efficiently. Responsibilities: Specification definition, design, implementation, and evaluation of tool products ※The full details regarding your position scope as well as any future potential changes in work location and job scope will be provided during the interview process. Требования: 【MUST】 Basic knowledge of AI / machine learning, or hands-on experience with frameworks such as TensorFlow or PyTorch Fundamental understanding of embedded software (C language) Experience in developing PC-based and/or cloud-based applications Japanese: Business Level (JLPT N2) English: Communication Level 【WANT】 Experience in designing and developing GUI applications using Java or C#, including user-centric UI/UX design Experience owning the full software development lifecycle, from specification and design through implementation and evaluation Experience in designing and developing cloud tools and web applications, including architecture design, APIs, and front-end and back-end development

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