Sr. Staff Embedded AI Engineer
Core
Developing advanced TinyML and embedded AI solutions by building cloud-based model translation infrastructure and optimizing network inference for resource-constrained embedded systems.
Role type
Sr. Staff Embedded AI Engineer (TinyML/Model Optimization)
Builds
Cloud-based service converting trained ML models into efficient C/C++ implementations for microcontrollers
Domain
Embedded systems, Automotive, Industrial, IoT, Semiconductor
Deliverable
production ML models
Required skills
C/C++ for embedded platforms, Python for tooling/automation, Neural network fundamentals, TensorFlow/PyTorch, Model quantization, SIMD/DSP acceleration, RTOS/bare-metal development, Hardware debugging
Preferred skills
CMSIS-NN, Renesas MCU/MPU platforms (RA, RL78, RX, RZ), Inference runtime development, Model translation tools
Technologies
TensorFlow, PyTorch, CMSIS-NN, Renesas RA/RL78/RX/RZ, RTOS
Responsibilities
Develop inference runtimes, model translation tools, or code generation systems; Optimize quantized neural networks for embedded systems using SIMD/DSP acceleration; Debug hardware issues; Contribute new ideas to improve tooling and embedded implementation quality
Seniority
Sr. Staff, hands-on IC with strategic impact
