דרושים » AI » Algorithm Researcher - Autonomous Driving (CTO Group)

Required Deep Learning Algorithm Engineer - REM Semantics
About the team:
You will be part of our REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges.
What will your job look like:
Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks.
Own projects end-to-end - from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment.
Analyze challenging edge cases and continuously improve model performance in complex driving scenarios.
Collaborate with algorithm developers, software engineers, product managers and system teams across the organization.
Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency.
Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide.

Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

Required Reinforcement Learning Researcher | Learned-Policy Group
About the team:
Build the intelligence behind the next driving decision.
Were building a reinforcement-learning driving planner for complex, interactive road scenarios. Were looking for a researcher to help take it from simulation to real vehicles.
Youll develop policy models, rewards, and training methods. Youll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. Youll work in a small team and collaborate with control and other algorithm teams.
This is a high-impact role with direct influence on a core part of our
driving technology and its future products.
What will your job look like?
Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components.
Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
Build simulation-based training and closed-loop evaluation workflows.
Turn research ideas into reliable components of the driving stack.

Required Experienced Deep Learning Algorithm Developer - Object Perception Group
About the team:
What will your job look like:
Develop and train neural networks for complex perception tasks in real-world driving environments.
Design and analyze deep learning pipelines, from data to deployment.
Collaborate with algorithm, software, and data experts to deliver production-ready models.
Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
You will need to learn and develop new algorithms which can address new problems as they arise.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
Learn and develop new algorithms which can address new problems as they arise

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
What will your job look like:
Work on developing and optimizing control algorithms for the vehicle.
Run and analyze simulations to test autonomous vehicle in virtual environments.
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers.
Working with communication protocols and interfaces for both internal and external communications with different components of the system.
Customer facing workshops to discuss and test your algorithms.
Testing your algorithms in an Autonomous vehicle.

Required Algo Software Engineer
About the team:
You'll join our REM (Road Experience Management) department. REM is an end-to-end mapping and localization engine that supports full autonomy capabilities and services.
Building validation processes and methods for a technology of this scale is challenging, meaningful and rewarding work. The system is complex and based on machine learning and image processing, so analysis and validation take deep thinking and strong technical and analytical skills. You'll develop validation infrastructure, tools and methods using cutting-edge technology and cloud-based applications. We use AI wherever it helps: to automate routine work, improve code quality and make our development process more efficient.