Embedded Systems Engineer - AI Development. Llantarnam LilyLifestyle

Embedded Systems Engineer - AI Innovation

Cwmbran, South Wales

On Site - occasional opportunity for home working

• Artificial Intelligence
• Machine Learning
• Real-Time Embedded development
• Custom Models
• Sensor Fusion
• Automation
• Edge AI
• RTOS
• Deep learning
• LLM
• ANN
• C++
• Electronics
• Mechatronics
• Robotics

• 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

As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge‑based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands‑on technical skills to bring AI concepts from idea to real‑world demonstration, all while helping build AI capabilities among colleagues.

• Build deep technical and regulatory understanding of our cabin/seat electronic and data systems.
• Develop and test edge‑AI solutions that enhance passenger experience and advance internal R&T workflows.
• Lead proof‑of‑concept trials and demonstrate the value of AI for real Safran products.
• Drive projects through our Technology Readiness Level process, ensuring compliance and maturity.
• Share AI knowledge across teams; be an in‑house AI ambassador!
• Manage external collaborations with universities and technology partners.
• Maintain up‑to‑date project plans, budgets, and technical records.
• Represent Safran at industry conferences and technology events.

• 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++, Tensor Flow/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)