Software Engineer focused on transforming software development with AI technologies at Fidelity. Collaborating in a diverse team to leverage innovation and continuous learning.
About the role
- 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)
Benefits
- Private Medical/Optician/Dental insurance
- Competitive pension scheme
- Flexible hours
- Work from home (1-2 days in the office P/W)
- Regular social events
- Supplied with a MacBook Pro
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