Senior Edge AI Embedded Systems Lead (Jetson/Linux)

Senior Edge AI Embedded Systems Lead (Jetson/Linux)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Enterprise Recruitment Ltd

At a Glance

  • Tasks: Lead the development of cutting-edge embedded AI systems for camera platforms.
  • Company: Join a forward-thinking tech company focused on innovation and collaboration.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement potential.
  • Why this job: Make a real impact in AI technology and work with the latest edge devices.
  • Qualifications: Experience in embedded systems, Linux, and proficiency in Python/C++.

The predicted salary is between 60000 - 80000 Β£ per year.

Enterprise Recruitment Ltd is seeking a Senior Embedded Electronic Systems Engineer to own the development of embedded Linux and edge AI systems for camera-based platforms.

You will drive cross-disciplinary collaboration across software, electronics and hardware to deliver robust, deployable products.

The role focuses on real-world deployment, performance, reliability, and timely delivery, working with Jetson or similar edge devices and software in Python/C++.

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Senior Edge AI Embedded Systems Lead (Jetson/Linux) employer: Enterprise Recruitment Ltd

Enterprise Recruitment Ltd is an excellent employer, offering a dynamic work environment in Tring that fosters innovation and collaboration. With a strong emphasis on employee growth, the company provides opportunities for professional development and a hybrid working model that promotes work-life balance. Join a team that values autonomy and continuous improvement, making a meaningful impact in the high-tech industry.

Enterprise Recruitment Ltd

Contact Details:

Enterprise Recruitment Ltd Recruitment Team

We think you need these skills to ace Senior Edge AI Embedded Systems Lead (Jetson/Linux)

Embedded Linux
Edge AI Systems
Camera-based Platforms
Cross-disciplinary Collaboration
Software Development
Electronics Knowledge
Hardware Integration