The DNN group is a dynamic and innovative team developing solutions for the development, optimization and deployment of AI (DNN)-based applications. We deal with a wide range of activities and technologies, bound tightly together to form our cutting-edge solutions, integrated with our world-leading image sensor products, and the AITRIOS smart-camera platform. Our vision is to continuously push the boundaries of technology and setting the bar for advanced-edge AI (DNN) solutions.
Join our innovative Deep Learning algorithms team within the AI-Solutions group, where we develop cutting-edge computer vision and deep learning technology for edge devices. We are looking for a passionate and skilled AI algorithms developer to drive the research, development, and implementation of state-of-the-art techniques in this field.
Responsibilities:
Research and develop state-of-the-art techniques for optimized deep learning algorithms on edge devices.
Design and implement deep learning algorithms.
Work closely with our software teams to ensure seamless integration of deep learning algorithms into our product architecture.
Contribute to the definition of the next generation of products.
Join our innovative Deep Learning algorithms team within the AI-Solutions group, where we develop cutting-edge computer vision and deep learning technology for edge devices. We are looking for a passionate and skilled AI algorithms developer to drive the research, development, and implementation of state-of-the-art techniques in this field.
Responsibilities:
Research and develop state-of-the-art techniques for optimized deep learning algorithms on edge devices.
Design and implement deep learning algorithms.
Work closely with our software teams to ensure seamless integration of deep learning algorithms into our product architecture.
Contribute to the definition of the next generation of products.
Requirements:
MSc (with thesis preferred) in Computer Science, Electrical Engineering, Physics, or a related field with expertise in machine learning.
Publication in a conference is an advantage.
Strong understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, problem-solving, and design.
Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
Experience with Python
MSc (with thesis preferred) in Computer Science, Electrical Engineering, Physics, or a related field with expertise in machine learning.
Publication in a conference is an advantage.
Strong understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, problem-solving, and design.
Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
Experience with Python
This position is open to all candidates.
