Senior Embedded Applications Engineer, Tiny ML Lab
Core
Build physical sensor rigs, collect real-world time-series data, and deploy quantized TinyML models onto microcontrollers for industrial, automotive, and consumer applications.
Role type
Senior hands-on IC embedded applications engineer (TinyML/Edge AI)
Builds
Custom sensor arrays, DSP pipelines, and low-power ML models on Renesas silicon
Domain
Semiconductor / Embedded Systems / Digital Signal Processing
Deliverable
production ML models
Required skills
Embedded C/C++, Bare-metal firmware, Digital Signal Processing (FFT, spectral analysis), Microcontroller programming (ARM Cortex-M), Low-level peripheral drivers (SPI, I2C, UART, CAN), Hardware prototyping, Oscilloscope/Logic analyzer debugging
Preferred skills
RTOS development (FreeRTOS, Zephyr), DMA buffer management, 3D printing, PCB bring-up, Quantized model optimization
Technologies
TFLite Micro, CMSIS-NN, eIQ, Renesas RA/RX/RL78, FreeRTOS, Zephyr
Responsibilities
Assemble custom sensor setups and prototype rigs, instrument physical systems to capture high-frequency sensor data, build DSP feature extraction pipelines, write real-time embedded firmware, debug edge hardware issues, mentor junior engineers
Seniority
Senior, hands-on IC
