Senior Deep Learning Algorithm Developer
Mobileye, an Intel Company
Software Engineering
Jerusalem, Israel
Posted on Sep 9, 2025
Mobileye is a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios.
At Mobileye, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
- Design, develop and implement deep learning algorithms to solve complex problems in computer vision
- Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
- Collaborate with cross-functional teams to understand requirements and develop solutions.
- Analyze large datasets to improve algorithm performance and robustness.
- Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms
All you need is:
- BSc in Computer Science, Electrical Engineering, Mathematics or Physics
- Advanced degree (M.Sc. or Ph.D.)- an advantage
- 5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
- Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.