Senior Embedded Software Engineer collaborating with Data Science team to deploy AI algorithms for edge devices. Responsible for model optimization and enabling real-time anomaly detection in the Electrical Distribution industry.
Responsibilities
Working alongside our Data Science team to deploy AI algorithms to edge devices like Smart Meters
Responsible for taking trained models and shrinking them to fit within kilobyte-range memory and milliwatt power budgets
Enable real-time anomaly detection, load forecasting, and grid health monitoring
Requirements
Expert proficiency in C/C++/Rust (for the device) and Python (for the model pipeline)
Deep experience with TinyML tools (TFLite Micro, CMSIS-NN, or STM32Cube.AI)
Familiarity with ARM Cortex-M series or RISC-V architectures
Strong understanding of linear algebra and signal processing (FFTs, digital filters)
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