דרושים » מדעים מדוייקים » הסבה להייטק בעידן ה-AI - לא קורס, מסלול לקריירה אמיתית

we are 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 our company, 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.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.