Edge AI Engineer (Embedded) - Hybrid

European Tech Recruit; Zaragoza; Hybrid; EUR 50,000 - 70,000; Full time

Job summary

A leading Quantum AI company based in Spain is seeking an Edge Deployment Engineer to work in a hybrid environment. Candidates should possess a Bachelor's degree in a relevant field and 3–5 years of relevant experience, particularly in embedded systems and firmware development. The role involves optimizing machine learning models for deployment, utilizing Python, C, or C++. Excellent collaboration skills are essential, along with a strong grasp of computer architecture. The fixed-term contract extends until June 2026.

Qualifications

• 3–5 years of hands-on experience in embedded systems or firmware development.
• Experience optimizing machine learning models for constrained devices.
• Strong fundamentals in computer architecture and performance optimization.

Skills

Embedded systems

Firmware development

Machine learning model optimization

Python

C

C++

Version control (Git)

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Electrical Engineering, Physics, or related field

Tools

TensorRT

ONNX Runtime

Job description

A leading Quantum AI company based in Spain is seeking an Edge Deployment Engineer to work in a hybrid environment. Candidates should possess a Bachelor's degree in a relevant field and 3–5 years of relevant experience, particularly in embedded systems and firmware development. The role involves optimizing machine learning models for deployment, utilizing Python, C, or C++. Excellent collaboration skills are essential, along with a strong grasp of computer architecture. The fixed-term contract extends until June 2026.