Embedded Systems Engineer – AI innovation

Embedded Systems Engineer – AI Innovation

Company:
Safran Seats

Location:

Cwmbran, South Wales, United Kingdom

Contract type:
Permanent / Full-time

Field:
Passenger and Crew Experience

• Early finish on Fridays
• Competitive salary with 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 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 the Technology Readiness Level process, ensuring compliance and maturity.
• Share AI knowledge across teams; act as 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 (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential).
• Proven experience designing, training, and deploying AI/ML models (deep learning or 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 in Python, C/C++, Tensor Flow/PyTorch; version control (e.g., Git) (Essential).
• Innovative, practical, and communicative; comfortable explaining AI concepts and collaborating with 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).

At Safran, we understand that diversity and inclusion make teams stronger and more effective. We are committed to fair and equitable employment practices for everyone. If you can demonstrate a variety of skills and experience relevant to the role, we encourage you to apply. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.