Social Implementation of Research Extends Beyond Incremental Improvements
I’m in charge of research and development that moves cutting‑edge technologies—such as AI and edge computing—closer to real‑world, usable form. By performing AI processing entirely on the device side, we’re building a “de‑cloud‑dependent” system that isn’t shackled by communication latency or bandwidth constraints. We’re currently setting up and validating the hardware environment; if successful, it could enable applications that have so far existed only in theory. I find it highly rewarding to be part of a process where small incremental improvements eventually crystallize into research outcomes and drive productization.
An Environment That Backs Challenges
– High Freedom
It’s a workplace dominated by young professionals in their 20s and 30s—a truly flat environment where age or rank doesn’t dictate who gets to speak. Even when working remotely, it’s easy to raise questions, and discussions naturally emerge as needed. In my first year I led a proof‑of‑concept experiment with an IoT device, and the insights I gained from on‑site validation have already been applied to my current research projects. Because I’m not pressured to deliver short‑term results but instead can sit down and engage with technology from a medium‑ to long‑term perspective, I feel that I’m steadily growing as an engineer while fully committing to my work.