Embedded AI Engineer | Embedded AI Engineer (m/w/d) – Computer Vision / Machine Learning / Edge AI

Job Summary

As an Embedded AI Engineer, you will be at the forefront of bridging advanced machine learning with hardware constraints. Your day-to-day responsibilities will involve designing, optimizing, and deploying deep learning models specifically for computer vision applications on edge devices. You will focus on critical tasks such as model quantization, pruning, and distillation to ensure high performance, memory efficiency, and low power consumption on embedded platforms. You will implement robust inference pipelines and conduct rigorous performance benchmarking and validation. The role requires a strong technical foundation in computer science or electrical engineering, coupled with hands-on experience in Python and C/C++. You will collaborate closely with cross-functional teams, including hardware and firmware engineers, to integrate AI solutions into real-world systems. This position is ideal for an engineer passionate about pushing the boundaries of what is possible on edge hardware, offering the opportunity to work with cutting-edge AI technologies in a collaborative and innovative environment.