we are 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 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 ++. at our company, 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 at we 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 seeking an algorithm team lead to guide a team of highly skilled algorithm developers. you will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide. this role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution. you will lead the teams end-to-end work in 3d computer vision, multi-sensor reasoning, and slam-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. the position involves close collaboration with product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions. what will your job look like:
lead a team of 7 algorithm developers, providing both technical and personal guidance.
manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
drive algorithmic research and development in the areas of 3d reconstruction, slam, optimization, calibration, and ego-motion estimation.
oversee the full lifecycle - from concept and research to deployment in production systems.
maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

We are global leader in autonomous vehicle (av) technology. if youre an experienced deep learning Developer driven by a passion to shape the future of mobility, join us to make av a reality. the 3d perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. our end-to-end temporal network fuses multi-view cameras into a unified 3d sensing state that powers planning.
what will your job look like?
develop, implement and optimize state-of-the-art transformer-based temporal vision models
extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding
work shoulder-to-shoulder in a large, collaborative group
research and integrate the latest advancements in 3d detection and perception
improve algorithmic performance through rigorous experimentation and innovation
work with large-scale datasets
research new advances in the field from the literature and industry.

the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment

you will be part of rem department. road experience management (rem) is an end-to-end mapping and localization engine. its being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient. 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. our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of Big Data. what will your job look like:
lead and hands-on drive the teams transition toward extensive and effective use of automation, including implementing automated solutions, improving existing workflows, and actively supporting the team in adopting automation as part of daily development and testing activities
manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
participate in the planning and design of advanced validation processes.

Our 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 self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. the group is primarily focused on the decision-making module of our 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.

the av validation infrastructure team is looking for an experienced backend Python Developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services. our team is responsible for ensuring the safety and performance of our autonomous vehicle (av) by building the tooling, data systems, and automation that power large-scale validation. key challenges: ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and av version stability.
support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
what will your job look like:
design and develop large-scale automation infrastructure and internal tooling for av validation
build and maintain data -driven services and pipelines in Python
develop and maintain restful apis and queue-based / event-driven services
work with ci/cd and infrastructure tools such as jenkins, Linux, kubernetes
work with modern data and Storage technologies, such as:
data & compute: spark (advantage)
databases / data lake: iceberg, athena, dynamodb, rds, other sql/nosql systems.

join us autonomous vehicle group as a software engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. this role may offer a flexible work arrangement with 2 days in petach tikva/ ramat gan and 2 days in jerusalem. what will your job look like?
development of the av applications (add new features, improve the design, literature review as needed, etc.)
maintenance of the av applications (address bugs and issues for internal and external customers)
development and automation of the surrounding tools

our platform sw department is looking for a highly driven and dynamic sw customer engineer to join our team and help shape the future of autonomous driving systems.
our team ensures fast and successful integration of mobileye's technologies in customers solutions (car manufacturers / tier1), from the design phase to a car launch, while working closely with internal r&d teams. we're looking for a strong, hands-on, software engineer who is passionately motivated by challenges and excels in troubleshooting hard, complex problems. what will your job look like?
you will work directly with mobileye's development teams on integration into the car manufacturer's system from a Real-Time, safety-critical system aspects.
you will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
support new boards bring up: coding, integration, unit TEST and customer support..
integration with various Embedded systems