Embedded Systems Engineer - AI innovation

Embedded Systems Engineer – AI Innovation

Cwmbran, South Wales – On Site (occasional home working).

We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site.

• 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 plus 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

• 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)