Embedded Systems Engineer - AI innovation in Cwmbran

Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets.

Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world.

Location: Cwmbran, South Wales

On Site - occasional opportunity for home working

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

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

At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision.

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

Your Role:

• 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.

We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. 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.

What You'll Bring:

• 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)