Edge ML Engineer: Time-Series for MEMS IMU Sensors
Summary
Machine Learning Engineer working on deep learning for MEMS IMU sensors, denoising signals and optimizing edge deployment on microcontrollers.
Si-Ware Systems, Inc. in Riyadh is seeking a Machine Learning Engineer to join our new Systems-Level Integration team focused on high-performance MEMS IMU sensors. You will pioneer deep learning to enhance raw sensor data and drive software, simulation, and data-driven modeling.
In the initial phase, you will work with core engineering datasets to train models that denoise signals, correct stochastic errors, and optimize edge deployment on microcontrollers.