Aerospace Edge AI Embedded Systems Engineer

Aerospace Edge AI Embedded Systems Engineer

Full-Time 45000 - 60000 Β£ / year (est.) No working from home possible
SAFRAN ACTUATION SYSTEMS UK LIMITED

At a Glance

  • Tasks: Develop cutting-edge AI for aircraft cabins and integrate with hardware.
  • Company: Join Safran, a leader in aerospace innovation and technology.
  • Benefits: Competitive salary, career growth, and opportunities to collaborate with top universities.
  • Other info: Dynamic research environment with exciting projects and collaboration opportunities.
  • Why this job: Be at the forefront of AI innovation in aerospace and make a real impact.
  • Qualifications: Experience in embedded systems and a passion for AI/ML technologies.

The predicted salary is between 45000 - 60000 Β£ per year.

Safran ACTUATION SYSTEMS UK LIMITED in the UK seeks an Embedded Systems Engineer - AI Innovation to join the Research & Technology team at Safran Seats.

You will develop edge-based AI for aircraft cabins, combining embedded development with real-time constraints and hardware integration.

You will deploy AI/ML models on edge platforms, collaborate with universities and partners, and lead trials to mature AI-enabled Safran products.

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Aerospace Edge AI Embedded Systems Engineer employer: SAFRAN ACTUATION SYSTEMS UK LIMITED

At Safran ACTUATION SYSTEMS UK LIMITED, we pride ourselves on being an excellent employer that fosters innovation and collaboration within the aerospace sector. Our work culture is built on teamwork and continuous learning, offering employees ample opportunities for professional growth through partnerships with leading universities and hands-on projects in cutting-edge AI technology. Located in the UK, we provide a dynamic environment where your contributions directly impact the future of aircraft cabin technology, making your work both meaningful and rewarding.

SAFRAN ACTUATION SYSTEMS UK LIMITED

Contact Details:

SAFRAN ACTUATION SYSTEMS UK LIMITED Recruitment Team

We think you need these skills to ace Aerospace Edge AI Embedded Systems Engineer

Embedded Systems Development
AI/ML Model Deployment
Real-Time Systems
Hardware Integration
Collaboration with Universities
Project Leadership
Edge Computing