Embedded Systems Engineer - AI innovation
Role details
Job location
Tech stack
Requirements
Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics, *Degree in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) *Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) *Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) *Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) *Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) *Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential) *Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) *Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable)
Benefits & conditions
Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including:
*Early finish on Fridays *Competitive salary and annual bonus and pay review *25 days' holiday + bank holidays (option to buy/sell) *Strong Pension scheme and life assurance *Professional development, ongoing training, mentoring *Onsite amenities: parking, restaurant, bicycle storage, showers *Family-friendly and accessible workplace policies