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- Tasks: Develop AI solutions to enhance passenger experience in aircraft cabins.
- Company: Join Safran, a global leader in aerospace and defence innovation.
- Benefits: Enjoy flexible benefits, competitive salary, and professional development opportunities.
- Other info: Collaborate with experts and represent Safran at industry events.
- Why this job: Be at the forefront of AI technology and make a real impact in aviation.
- Qualifications: Degree in Engineering or Computer Science; experience with AI/ML models essential.
The predicted salary is between 50000 - 65000 £ per year.
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.
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)
Embedded Systems Engineer - AI innovation employer: Safran UK
Contact Detail:
Safran UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded Systems Engineer - AI innovation
✨Tip Number 1
Network like a pro! Attend industry events, meetups, or even online webinars related to AI and embedded systems. Connecting with professionals in the field can open doors and give you insider info on job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving edge computing or real-time systems. This will help you stand out and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences at Safran and express your enthusiasm for the position. It shows initiative and can make a lasting impression.
✨Tip Number 4
Keep learning! Stay updated on the latest trends in AI and embedded systems. Online courses or certifications can boost your knowledge and show employers that you're committed to professional growth. Plus, it’s a great conversation starter!
We think you need these skills to ace Embedded Systems Engineer - AI innovation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Embedded Systems Engineer role. Highlight your AI and embedded systems experience, and don’t forget to mention any relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI innovation and how your background makes you a perfect fit for Safran. Keep it engaging and personal – we want to see your personality!
Showcase Your Technical Skills: When detailing your technical skills, be specific! Mention the programming languages and tools you’ve used, like Python or C++, and any hands-on experience with AI models. This will help us see your expertise in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the role and our company!
How to prepare for a job interview at Safran UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of artificial intelligence and machine learning. Be ready to discuss specific projects where you've designed, trained, or deployed AI models. Safran is looking for someone who can demonstrate real-world applications, so have examples ready that showcase your hands-on experience.
✨Get Familiar with Embedded Systems
Since this role focuses on embedded systems, it's crucial to understand the technical aspects involved. Review your experience with edge AI solutions and be prepared to explain how you've integrated AI into resource-constrained platforms. Highlight any work you've done with RTOS and debugging, as these will be key talking points.
✨Show Off Your Collaboration Skills
Safran values teamwork, so be ready to discuss how you've worked with diverse teams in the past. Think about times when you've shared knowledge or collaborated on projects. Being able to communicate complex AI concepts to non-technical stakeholders will set you apart, so practice explaining your work in simple terms.
✨Prepare Questions About Their Vision
Demonstrate your interest in Safran by preparing thoughtful questions about their approach to innovation and sustainability in aviation. Ask about their current projects involving AI and how they envision the future of passenger experience. This shows you're not just interested in the job, but also in contributing to their mission.