Senior Deep Learning Algorithm Developer

Join Our Algorithm Group at Mobileye

• Mobileye, a leader in the autonomous vehicle (AV) industry, is seeking a talented and passionate developer to join our team. If you are a bright hands-on developer with a passion for making a difference, we invite you to help us shape the future of autonomous driving.


• Which Department Will You Join?
Our algorithm group specializes in detection and classification tasks essential for AV. We focus on full image detection, object classification, and 3D detection. A key part of our work involves identifying and understanding real-world 3D elements, such as objects' size, position, and other critical attributes, to ensure accurate and reliable navigation and decision-making for autonomous vehicles.

What will your job look like?

• Design and Development: Create and implement deep learning algorithms to solve complex detection problems.
• Collaboration: Work with cross-functional teams to understand requirements and develop innovative solutions.
• Research and Innovation: Conduct research, evaluate existing models, and propose new approaches to improve performance and accuracy.
• Optimization: Enhance the performance and scalability of existing algorithms.
• Cutting-Edge Technology: Stay updated with the latest advancements in deep learning and apply them to enhance our algorithms.

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, or a related discipline.
• 5+ years of hands-on experience in developing deep learning algorithms in Python.
• Strong understanding and experience with computer vision and 3D object detection.
• Proficiency with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
• Experience with end-to-end deep learning pipelines, including data preparation, training, validation, and deployment.
• Excellent analytical and problem-solving skills.

Advantages:

• Proficiency in C++ development.
• Experience with cloud platforms such as AWS.
• Familiarity with Linux environments, virtual environments, and Docker containers.
• Experience with hardware-aware deep neural networks.
• Background in autonomous vehicle technology and real-time systems.