Embedded AI Engineer for Automotive & Robotics Platforms

Embedded AI Engineer for Automotive & Robotics Platforms

Full-Time 42000 - 63000 Β£ / year (est.) No working from home possible
Advanced Micro Devices

At a Glance

  • Tasks: Develop innovative AI solutions for automotive and robotics platforms.
  • Company: Join Advanced Micro Devices, a leader in cutting-edge technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make an impact in the exciting field of AI and embedded systems.
  • Qualifications: Strong skills in C/C++ or Python, Linux experience, and knowledge of embedded architectures.

The predicted salary is between 42000 - 63000 Β£ per year.

Advanced Micro Devices is seeking a Software Engineer for their Physical AI team in the United Kingdom. This role focuses on developing innovative AI-driven solutions, particularly for automotive and robotics.

You will contribute to the RAVE2 platform, working closely with hardware and software teams to deliver high-performance embedded systems.

The ideal candidate should possess strong development skills in C/C++ or Python, a solid background in Linux, and a keen understanding of embedded architectures.

Embedded AI Engineer for Automotive & Robotics Platforms employer: Advanced Micro Devices

Advanced Micro Devices is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the cutting-edge field of AI for automotive and robotics. Employees benefit from continuous growth opportunities, competitive compensation, and the chance to work on groundbreaking projects within a supportive team environment in the United Kingdom.

Advanced Micro Devices

Contact Details:

Advanced Micro Devices Recruitment Team

We think you need these skills to ace Embedded AI Engineer for Automotive & Robotics Platforms

C/C++ Development
Python Development
Linux Proficiency
Embedded Systems Knowledge
AI-driven Solutions Development
Collaboration with Hardware Teams
Collaboration with Software Teams