Senior Embedded Software Engineer

Working alongside our Data Science team you will be responsible for deploying AI algorithms to edge devices like Smart Meters, acting as a bridge between high level data science and low level hardware engineering.

You will be responsible for taking trained models and “shrinking” them to fit within the kilobyte-range memory and milliwatt power budgets of our hardware. Your work will enable real-time anomaly detection, load forecasting, and grid health monitoring directly at the point of consumption., * Model Optimization: Convert high-level Python/TensorFlow/PyTorch models into optimized C++, Rust or Flatbuffer formats using TensorFlow Lite for Microcontrollers or Edge Impulse.

• Resource Management: Implement techniques like 8-bit quantization, weight pruning, and knowledge distillation to ensure models run within <256KB of RAM and minimal Flash storage.
• Firmware Integration: Collaborate with Embedded Engineers to integrate inference engines into the device’s firmware (RTOS-based) without disrupting primary metrology functions.
• Signal Pre-processing: Develop efficient Digital Signal Processing (DSP) pipelines to clean raw voltage/current data before it reaches the AI model.

• Languages: Expert proficiency in C/C++/Rust (for the device) and Python (for the model pipeline).
• Frameworks: Deep experience with TinyML tools (TFLite Micro, CMSIS-NN, or STM32Cube.AI).
• Hardware Knowledge: Familiarity with ARM Cortex-M series or RISC-V architectures.
• Mathematical Foundation: Strong understanding of linear algebra and signal processing (FFTs, digital filters).

As a company we specialise in using ML within the Electrical Distribution Industry to predict outages and equipment failure. The work has huge real world implications, helping prevent anything from large scale outages to mitigating wildfires.

Our engineers, developers and data scientists share a passion for innovation and are dedicated to providing our customers with solutions that enable new insights that revolutionise business processes.