Embedded Systems Engineer - AI innovation in Cwmbran

Embedded Systems Engineer - AI innovation in Cwmbran

Cwmbran Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
Safran companies

At a Glance

  • Tasks: Use AI to enhance passenger experiences in aircraft cabins and develop innovative solutions.
  • Company: Join Safran Seats, a leader in aerospace innovation with a collaborative culture.
  • Benefits: Enjoy early finishes on Fridays, competitive salary, and 25 days' holiday plus bank holidays.
  • Other info: Dynamic workplace with strong focus on professional development and career growth.
  • Why this job: Make a real impact in the aviation industry while working with cutting-edge technology.
  • Qualifications: Degree in Engineering or related field and experience with AI/ML models required.

The predicted salary is between 40000 - 50000 £ per year.

Location: Cwmbran, South Wales – On Site – occasional opportunity for home working

Benefits:

  • 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

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.

Key Responsibilities:

  • 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 (or equivalent experience) 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)

At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. 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.

Embedded Systems Engineer - AI innovation in Cwmbran employer: Safran companies

At Safran Seats, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Cwmbran, South Wales, where innovation thrives. Our commitment to employee growth is evident through professional development opportunities, ongoing training, and a strong emphasis on work-life balance with family-friendly policies. With competitive salaries, generous holiday allowances, and onsite amenities, we create a supportive culture that empowers our team to excel in cutting-edge AI projects that enhance passenger experiences.

Safran companies

Contact Details:

Safran companies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Embedded Systems Engineer - AI innovation in Cwmbran

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects and embedded systems work. This is your chance to demonstrate what you can do beyond just a CV—make it visual and engaging!

Tip Number 3

Prepare for interviews by practising common technical questions and scenarios related to AI and embedded systems. We recommend doing mock interviews with friends or using online platforms to get comfortable.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Embedded Systems Engineer - AI innovation in Cwmbran

Artificial Intelligence
Machine Learning
Deep Learning
Python
C/C++
TensorFlow
PyTorch

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Embedded Systems Engineer role. Highlight your experience with AI/ML models and any hands-on projects you've worked on. We want to see how your skills align with what we're looking for!

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 you can contribute to enhancing passenger experiences. Keep it engaging and personal, so we get a sense of who you are.

Showcase Your Technical Skills:Don’t forget to mention your programming proficiency in Python, C/C++, and any experience with TensorFlow or PyTorch. We love seeing candidates who can demonstrate their technical prowess, especially in real-world applications!

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, it shows us that you’re genuinely interested in joining our team at Safran Seats!

How to prepare for a job interview at Safran companies

Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your experience with designing, training, and deploying AI models, especially in real-world applications. This is your chance to showcase your hands-on skills!

Show Off Your Technical Skills

Prepare to talk about your programming proficiency in Python, C/C++, and frameworks like TensorFlow or PyTorch. Bring examples of projects where you've integrated AI solutions on edge devices. The more specific you can be, the better!

Understand the Company and Role

Do your homework on Safran Seats and their focus on enhancing passenger experience through AI. Familiarise yourself with their products and how your role as an Embedded Systems Engineer fits into their vision. This will help you tailor your answers and show genuine interest.

Be Ready to Collaborate

Since this role involves working with various stakeholders, prepare to discuss your collaborative experiences. Think of examples where you've successfully communicated complex AI concepts to non-technical team members or managed external partnerships. Highlight your innovative and communicative approach!