At a Glance
- 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 innovation in aviation and make a real impact.
- Qualifications: Degree in Engineering or Computer Science; experience in AI/ML model deployment required.
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
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.
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)
Locations
Embedded Systems Engineer - AI innovation in Cwmbran, Wales employer: Safran
At Safran, we pride ourselves on being an exceptional employer, particularly for our Embedded Systems Engineer role in Cwmbran, South Wales. Our commitment to employee well-being is reflected in our flexible benefits, competitive salary, and strong pension scheme, alongside a vibrant work culture that fosters innovation and professional growth. With opportunities for ongoing training and collaboration with industry experts, you'll be part of a team dedicated to crafting excellence in aerospace technology while enjoying a family-friendly workplace that values diversity and sustainability.
StudySmarter Expert Advice🤫
We think this is how you could land Embedded Systems Engineer - AI innovation in Cwmbran, Wales
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars related to AI and embedded systems. You never know who might have a lead on your dream job at Safran!
✨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 give you an edge when chatting with potential employers and demonstrate your hands-on experience.
✨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 Embedded Systems Engineer position.
✨Tip Number 4
Keep learning! Stay updated on the latest trends in AI and embedded systems. Consider taking online courses or certifications to boost your knowledge and show that you're committed to continuous improvement. Plus, it’ll make you stand out when applying through our website!
We think you need these skills to ace Embedded Systems Engineer - AI innovation in Cwmbran, Wales
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/ML 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 into the right hands. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at Safran
✨Know Your AI Stuff
Make sure you brush up on your knowledge of artificial intelligence and machine learning concepts. Be ready to discuss your experience with designing, training, and deploying AI models, especially in real-world applications. Safran is looking for someone who can demonstrate hands-on skills, so be prepared to share specific examples from your past work.
✨Showcase Your Technical Skills
Since the role involves embedded systems, it's crucial to highlight your programming proficiency in languages like Python and C/C++. Bring along any projects or code samples that showcase your ability to integrate AI solutions on edge platforms. This will help you stand out as a candidate who can hit the ground running.
✨Communicate Clearly
You’ll need to explain complex AI concepts to a variety of stakeholders, so practice articulating your thoughts clearly and concisely. Think about how you can simplify technical jargon into layman's terms. This will not only show your understanding but also your ability to collaborate effectively within teams.
✨Be Ready for Problem-Solving
Expect some scenario-based questions where you'll need to demonstrate your problem-solving skills. Think about challenges you've faced in previous projects, particularly those involving AI or embedded systems, and how you overcame them. Showing your innovative thinking will resonate well with Safran's commitment to excellence and innovation.
