TDK AIsight builds core AI and vision technologies for smart glasses, with a stack spanning embedded systems (C++, Android, Linux), hardware protocols (Bluetooth, NFC, Ultra-Wideband), and on-device ML. The hiring surge across 22 open roles in the past 30 days—concentrated in engineering but spanning product, data, and leadership—signals aggressive scaling to support smartglasses ecosystem partnerships and platform releases. Pain-point data reveals they're wrestling with hardware-software integration, technical debt, and OEM partnership setup, typical friction points for a 2022 deep-tech startup moving from prototyping to production.
Notable leadership hires: Engineering Director
TDK AIsight develops fundamental technologies for context-aware vision and low-power on-device AI, targeting the smart glasses hardware category. The company works directly on platform-level software and system integration rather than consumer-facing applications—their projects center on CI/CD infrastructure, automated test frameworks, OEM partnership agreements, and smartglasses ecosystem strategy. Based in San Diego with 11–50 employees, they are actively hiring in South Korea and Taiwan, indicating both US-based R&D and offshore engineering support. The combination of embedded protocols (UART, I2C, JTAG), mobile platforms (Android, iOS, Kotlin), and Linux kernel work suggests they operate across the full hardware-to-OS stack.
Core languages: Python, C++, C. Mobile: Android, iOS, Kotlin. Hardware protocols: Bluetooth, NFC, Ultra-Wideband, UART, I2C, JTAG, USB. OS: Linux, AOSP, SELinux. Build/test: Android Studio, Gradle, Espresso, GNU Toolchain, Git, JNI, NDK.
Smart glasses platform development: ecosystem partnerships, platform releases, hardware-software integration, CI/CD pipelines, automated test frameworks, OEM agreements, and system software updates. Facing challenges with technical debt, engineering scaling, and large-scale data collection.
Other companies in the same industry, closest in size