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Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for our customers around the globe and as our Validation Engineer you will be interacting with most of our departments, to achieve our goals.
What will your job look like:
Testing and evaluating system performance across both hardware and software components, identifying issues, analyzing root causes, and verifying system functionality.
Developing, executing, and improving validation tests and integration methodologies to ensure product quality, reliability, and compliance with system requirements.
Performing manual validation alongside built-in automated test suites, analyzing test results, documenting findings, and supporting issue resolution.
Installing, configuring, and validating our debug systems and sensors on development vehicles, while providing technical support and troubleshooting assistance to internal teams and automotive customers.

Required Field Engineer in India (Chennai) - Relocation
Unique opportunity for relocation in India (Pune) as a Field Engineer!
We develop systems that change the way we drive, from preventing accidents (advanced driver assistance systems) to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference - come and lead the revolution!
The field engineer is the connecting link between us and our customers, the car manufacturer (OEM) and the integration partner (Tier 1). As such, the field engineer provides the first line of technical support, analysis, and integration in the development of next-generation semi-autonomous driving systems.
What will you do?
The field engineer will relocate abroad and work alongside the development teams of a leading international automotive company. The field engineer will Be the liaison between us and the customer and hold a key role in our development projects providing the customer with direct technical support. As such, the field engineer will have an influence on the design and application of advanced vision based semi-autonomous driving systems, eventually installed in millions of cars worldwide.
What will your job look like:
Installing various systems on evaluation and development vehicles.
Performing and supervising test drives on an open road and test tracks.
Testing performance and quality of the vision system.
Supporting system integration efforts with deep "bits and bytes" understanding of the entire system.
Providing expert support and training for the engineering teams on site.
The position includes office work, support at vehicle production lines and integration facilities.
Tasks also include long test drives travel in india and additional countries.
Crisis management.
Ability to understand the entire system and solve the customer problems.
Working with high ranked managers from both T1 and OEM sides.
The position requires a training period of 2-3 months in Jerusalem.

We are looking for someone who can turn ambitious algorithm roadmaps into reality - helping an entire engineering department deliver better products, faster. As the Algorithm Execution Manager for our Geometry department, you'll work alongside the department's leadership, engineers, and technical leads to drive execution across multiple algorithm teams supporting both our autonomous driving technology and leading global automotive partners.
This isn't a traditional project management role. You're not here to track tasks - you're here to make things happen. You'll take ownership of execution, remove obstacles, challenge assumptions, and help teams make the right decisions at the right time. You'll dive into technical discussions, connect the dots across teams, and do whatever it takes to keep the department moving toward its goals.
Success in this role means delivering outstanding products with high quality and on time, while continuously improving how the department executes. Just as importantly, you'll become the go-to execution partner for the Geometry organization - someone engineers, managers, and technical leaders rely on to solve problems, drive progress, and help them achieve their goals.
What will your job look like:
Own execution across the Geometry department. Turn ambitious plans into high-quality products that actually ship.
Make things happen. Remove roadblocks, unblock teams, and keep everyone moving toward the finish line.
Turn strategy into reality. Partner with Geometry leadership to transform priorities into action -and ideas into products used by real customers.
See problems before they happen. Identify risks early, make the hard calls, and keep deliveries on track.
Be the force that connects the dots. Align algorithm, product, data, and engineering teams - without adding friction or slowing anyone down.
Get into the details. Join technical discussions, challenge assumptions, and help teams find solutions that actually work.
Build the engine behind execution. Create scalable mechanisms that make the department faster, sharper, and better over time.
Create visibility, not surprises. Keep leadership and teams aligned on progress, priorities, risks, and decisions.
Be the person everyone calls when things need to move. The one who takes ownership, breaks through obstacles, and gets things done.

Required Outstanding Graduate Algorithm Developer
A global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, algorithm developers work at the forefront of AV/ADAS innovation - designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C++.
Algorithm developers join a variety of teams across a broad range of domains. This role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact.
Algorithm developers contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.
Our group tackles diverse challenges - from object detection and scene understanding to 3D perception - using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
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.

Required Experienced Algorithm Validation Engineer
You will be part of our REM department. Our Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services.
Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.
You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

Required Deep Learning Algorithm Engineer - REM Semantics
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.
If you're talented, highly motivated and passionate about building intelligent systems where your contributions drive concrete, measurable outcomes, we'd love to meet you.
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 Algorithm Team Lead
Join our innovative team, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

We are seeking an algorithm developer to help improve our solution for continuously updating maps following road changes, contributing directly to technologies that improve road safety.
What will your job look like:
Design, develop, and optimize algorithms for updating large‑scale map creation systems.
Implement and maintain production‑level Python code within a complex, large codebase.
Analyze large datasets and build scalable solutions using scientific and big‑data tools.
Take algorithms from research and prototyping through production deployment.
Continuously research and develop new algorithmic approaches to address emerging challenges.

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 geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety.
What will your job look like:
Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems.
Implement and maintain production‑level Python code within a complex, large codebase.
Analyze large datasets and build scalable solutions using scientific and big‑data tools.
Take algorithms from research and prototyping through production deployment.
Continuously research and develop new algorithmic approaches to address emerging challenges.
May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms.