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In this highly visible position you will be working on best in class SoC.
You will be in charge of SW development for Silicon validation purposes. You will be working on design, development and integration of complex drivers, tests and SW infrastructure, as well as SoC Bring-ups and complex debug activities. Imagine what do you could do here.

we are looking for a skilled and driven Algorithm Team Lead to tackle real-world challenges using cutting-edge Computer Vision and Machine Learning techniques. Our work directly supports our companys mission to revolutionize autonomous driving and contribute to saving lives. Youll lead a fast-paced, hands-on team, contributing to the full development cyclefrom early research to deploying production-ready solutionswhile collaborating with teams across the organization.
What will your job look like:
Lead and mentor a team of algorithm developers focused on solving complex perception problems.
Drive the development and implementation of machine learning models for real-world automotive applications.
Focus on algorithmic development with a strong emphasis on Computer Vision and Image Processing.
Work with large-scale data to design, train, and evaluate deep learning models.
Program primarily in Python using modern tools and frameworks.
Research, prototype, and refine new ideas to address evolving perception challenges.

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.

our companys ADAS (Advanced Driver Assistance Systems) Execution & Validation group is looking for a sharp, driven, and technically oriented manager to lead cross-functional validation initiatives aimed at discovering bugs earlier in the development lifecycle. This role is at the heart of our effort to enhance validation methodologies across our companys ADAS algorithmic technologies, integrating AI-driven systems, data pipelines, and operational workflows. As the ADAS Validation Manager, youll orchestrate multiple teams, under you direct management, help shape our validation strategy and drive alignment across the organization. You will be the central point of contact for validation activities across ADAS, working closely with algorithm developers, analysts, and product stakeholders. If you thrive on managing complexity, pushing for excellence, and turning high-level goals into execution - we want to meet you.
What will your job look like:
Manage multiple validation-related teams, consisting of 10 people, while managing timelines, deliverables, and execution for diverse goals and expertise.
Lead multiple activities and initiatives across ADAS, with a focus on early detection of system bugs (shift left mindset).
Collaborate with algorithm developers, operational experts, and validation analysts to drive scalable validation tools and methodologies.
Drive innovation in validation by introducing AI/LLM-based tools and cutting-edge technologies into operational workflows.
Help set a high standard of excellence for cross-functional validation practices within the ADAS domain.
Youll oversee validation efforts across tech teams, working hand-in-hand with local validation groups to align goals, share insights, and push validation earlier in the pipeline.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

we are seeking talented Algorithm Developers for a range of positions focused on shaping the future of autonomous driving and advanced driver-assistance systems. You will develop and optimize cutting-edge computer vision and mapping algorithms that help vehicles perceive their surroundings, detect drivable lanes, and create high-definition maps from large-scale, crowd-sourced data. This work requires creativity, strong algorithmic thinking, and software engineering skills to deliver real-time solutions on dedicated hardware. Join us in making roads safer and driving smarter for everyone.
What will your job look like:
The role combines algorithm development with hands-on software implementation.
The algorithmic development is done in Python and C++, and tasks often require solid foundations in mathematics and geometry.
We work with image-based data and focus on extracting and representing spatial information accurately and efficiently.
You will take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.

You will be part of our company's REM department. our companys 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.

You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our companys key products. We are recruiting for several teams, offering you the opportunity to work on vision-related tasks such as segmentation, object detection, classification, regression, as well as 2D and 3D vision technologies. In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions, enhancing the performance of existing ones, and participating in innovative, cross-organizational initiatives. This position offers the opportunity to be part of a fast-paced, forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).
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.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

The VIDAR team is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.

we are seeking a brilliant Product Execution Manager to lead the execution of advanced algorithmic products Computer Vision, LiDAR, Radar, and Camera for global automotive partners and our companys internal AV development.
What will your job look like:
Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients.
Lead complex development projects from the requirements phase through to implementation.
Closely track development progress and obtain approvals for technical requirements from R&D teams.
Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product.
Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently
Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning.
Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack.