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ourImaging Radar group is seeking a talented individual to join our team as a Automation Engineer & Integration Specialist.
This multifaceted role requires expertise in DevOps practices, integration technologies, release management, IT and lab support, as well as proficiency in developing automation solutions.
The ideal candidate will have a strong technical background coupled with a proactive mindset to drive efficiency and reliability across our systems and processes
What will your job look like:
Automate provisioning, configuration, and deployment processes to increase efficiency and scalability
Manage infrastructure as code using tools like Ansible, Kubernetes or similar technologies
Design, implement, and maintain CI/CD pipelines to automate software delivery processes
Collaborate with development and validation teams and troubleshoot integration issues
Coordinate software releases and deployments across development, testing, and production environments
Provide technical support for IT infrastructure, including servers, and developers workstations
Troubleshoot hardware-related issues

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 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

In this role, you will work closely with release managers, main bundle integration teams, validation groups, and various R&D units across the company to ensure the delivery of high-quality products. Our team is responsible for integrating algorithmic and software code into Mobileyes main repository, managing a range of gating tests, and delivering the technology content to the main bundle integration team.
What will your job look like:
Deliver versions of the technology out to the project integration
Work closely with development, release management, and validation teams
Define and write offline tests for all the various projects
Dig into source code and scenarios in order to identify, triage, and prioritize issues
Debug issues in Mobileye's production platforms where the root cause could span across multiple domains
Maintain and review overall stability and resource utilization (CPU, RAM, Flash) of the system

We develop the software architecture system and tools to enable state-of-the-art algorithms to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles.
Within the Compute Software group, we are responsible for all features above the operating system. This entails creating a diverse range of tools, libraries, and different work environments.
What will you do?
You will lead and develop various development tools, technologies and large-scale SW infrastructures for platform including simulators, data analysis, debugging tools and performance optimization tools.
You will get a deep understanding of HW architecture as well as end-to-end use cases and CV\DL algorithms.
You will work on different environments in the software stack including backend, middleware and frontend development.
You will consistently work and interact with multiple departments .
You will have a great chance to influence future generations of hardware and software stacks.

We are looking for a Cyber Security Architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
In this role, you will define security architecture for radar hardware, embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding mission-critical sensing technology.
Youll be part of a team shaping the future of autonomous driving. Our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. Youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale.
What will your job look like?
Security Architecture Design - Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
Threat Modeling & Risk Assessment (TARA) - Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
Secure Communication - Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
Secure Software Design - Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
Compliance & Standards - Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
Collaboration with R&D - Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
Incident Response Support - Provide architectural guidance during security incidents involving radar systems.
Technology Evaluation - Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

As a Product Validation Group Manager in the automotive industry, you will lead multidisciplinary validation teams responsible for ensuring the reliability, performance, and quality of advanced automotive systems and components.
You will apply cutting-edge validation methodologies, utilize real-time lab environments, and leverage innovative tools to drive accuracy, efficiency, and continuous improvement.
As the final gatekeepers, your teams will ensure that every version released to customers meets the highest standards of safety and excellence- enabling faster delivery, smarter innovation, and technology that drives the world forward.
What will your job look like:
Team Leadership: Lead, mentor, and manage a group of 4 teams of validation engineers and developers, fostering a collaborative and innovative team environment. Provide guidance, support, and professional development opportunities to team members.
Validation Process Management: Lead and oversee the planning, execution, and optimization of validation processes for cutting-edge automotive systems and components in a fast-paced, innovative-driven environment. Ensure all validation activities meet the highest industry standards while continuously enhancing quality, precision, and efficiency to accelerate delivery and innovation.
Methodologies and Frameworks: Utilize the V model and other software developments to structure and execute validation activities. Implement and optimize Continuous Integration and Continuous Deployment (CI/CD) methods within the validation process.
Tool Integration and Management: Manage the integration and use of tools such as Jenkins, JIRA, and other CI/CD systems in validation workflows. Develop and maintain automation scripts using Python to streamline validation processes and improve efficiency.
Real-Time Online Lab Systems: Oversee the setup, maintenance, and operation of real-time online lab systems used for validation. Ensure that all lab environments are fully equipped, optimally configured, and continuously enhanced through innovative technologies and practices to support efficient and reliable validation activities.
Project Management: Plan and manage validation projects, ensuring they are completed on time, within scope, and within budget. Coordinate with cross-functional teams to align validation activities with overall project goals and timelines.

Mobileye is looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. As the technical lead and architect for Quality and Test aspects of the OS teams, you will be contributing to the overall qualification effort of Mobileye while collaborating with OS development teams and architects

What will your job look like:

Work with the system and SW architecture teams closely.
Review and analyze all functional SW requirements from OS features and write the relevant testing and quality requirements for development teams.
Define the key performance indicators and the methodology of measuring and tracking them.
High level design of test scenarios.
Review test design and implementation with development teams.
Define functional requirements from the CI/DevOps teams to satisfy the OS quality needs.
Track the integration between the CI and OS tests.
Manage quality indicators like code quality and coverage indicators.
Mentor OS teams for quality programing and proper testing.
Track and analyze bug escapes on a continuous basis to improve testing coverage and overall quality.
Daily tracking of test coverage, resource utilization and testing time.
All you need is:

Mobileye is looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. As the technical lead and architect for Quality and Test aspects of the OS teams, you will be contributing to the overall qualification effort of Mobileye while collaborating with OS development teams and architects

What will your job look like:

Work with the system and SW architecture teams closely.
Review and analyze all functional SW requirements from OS features and write the relevant testing and quality requirements for development teams.
Define the key performance indicators and the methodology of measuring and tracking them.
High level design of test scenarios.
Review test design and implementation with development teams.
Define functional requirements from the CI/DevOps teams to satisfy the OS quality needs.
Track the integration between the CI and OS tests.
Manage quality indicators like code quality and coverage indicators.
Mentor OS teams for quality programing and proper testing.
Track and analyze bug escapes on a continuous basis to improve testing coverage and overall quality.
Daily tracking of test coverage, resource utilization and testing time.
All you need is:

Mobileye is looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. As the technical lead and architect for Quality and Test aspects of the OS teams, you will be contributing to the overall qualification effort of Mobileye while collaborating with OS development teams and architects

What will your job look like:

Work with the system and SW architecture teams closely.
Review and analyze all functional SW requirements from OS features and write the relevant testing and quality requirements for development teams.
Define the key performance indicators and the methodology of measuring and tracking them.
High level design of test scenarios.
Review test design and implementation with development teams.
Define functional requirements from the CI/DevOps teams to satisfy the OS quality needs.
Track the integration between the CI and OS tests.
Manage quality indicators like code quality and coverage indicators.
Mentor OS teams for quality programing and proper testing.
Track and analyze bug escapes on a continuous basis to improve testing coverage and overall quality.
Daily tracking of test coverage, resource utilization and testing time.
All you need is:

we are looking for a skilled and motivated Embedded SW Integration Team Lead for the Platform OS Department to manage the daily integration of the OS deliveries into SW stack. The Platform OS team is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. Youll lead a fast-paced, hands-on and dynamic team of integration and automation engineers, contributing to the overall qualification and integration effort while collaborating with other teams across the organization.
What will your job look like:
Lead and mentor a team of 4-6 SW Integration and Automation engineers
Manage the daily integration of the aggregated delivery of all OS teams upstream into SW stack.
Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Tracking the utilization, health and allocation of the HW resources in the farm.
Balancing test coverage to HW availability through tracking CI load.
Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage

we are looking for a skilled and motivated Embedded SW Integration Team Lead for the Platform OS Department to manage the daily integration of the OS deliveries into SW stack. The Platform OS team is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. Youll lead a fast-paced, hands-on and dynamic team of integration and automation engineers, contributing to the overall qualification and integration effort while collaborating with other teams across the organization.
What will your job look like:
Lead and mentor a team of 4-6 SW Integration and Automation engineers
Manage the daily integration of the aggregated delivery of all OS teams upstream into SW stack.
Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Tracking the utilization, health and allocation of the HW resources in the farm.
Balancing test coverage to HW availability through tracking CI load.
Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage

we are looking for a skilled and motivated Embedded SW Integration Team Lead for the Platform OS Department to manage the daily integration of the OS deliveries into SW stack. The Platform OS team is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. Youll lead a fast-paced, hands-on and dynamic team of integration and automation engineers, contributing to the overall qualification and integration effort while collaborating with other teams across the organization.
What will your job look like:
Lead and mentor a team of 4-6 SW Integration and Automation engineers
Manage the daily integration of the aggregated delivery of all OS teams upstream into SW stack.
Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Tracking the utilization, health and allocation of the HW resources in the farm.
Balancing test coverage to HW availability through tracking CI load.
Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage

We are looking for a Data Engineer to join our Object Detection group and play a key role in managing and enabling data workflows that power our computer vision algorithms. Our team generates and processes large volumes of diverse data from multiple sources, and we need someone who can bridge the gap between raw data and algorithmic innovation.
Working alongside algorithm developers and researchers, you'll be responsible for building robust data pipelines, ensuring data quality, and making complex datasets accessible and actionable for our detection models.
This role requires both strong coding abilities and a deep understanding of data - you'll need to think like an engineer while understanding the unique needs of a research and development-focused algorithmic group.
What will your job look like:
Work on large-scale systems handling diverse data from multiple sources
Build and maintain robust data pipelines that enable algorithmic development
Evaluate various optional technologies and take part in decision-making
Own key features and services within the data infrastructure
Ensure data quality and accessibility for detection models and research needs
Work onsite in Jerusalem at least 3 days a week

We are looking for a deep learning algorithm developer to join our growing team under Algorithms Group.
The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems.
If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Contribute to dataset curation activities - collecting, cleaning, labeling, and preparing multimodal data for training and validation.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Support validation of multimodal models - evaluating vision-language-action behavior and helping identify performance gaps across driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

we are looking for a Machine Learning Software Engineer, who will be challenged by bridging the gap between cutting-edge machine learning research and robust production deployment.
In this position, you will combine software engineering expertise with machine learning deployment knowledge, responsible for taking our algorithms and developing robust production solutions that serve them at scale.
The work at algorithms department is fast-paced and requires staying ahead of the curve with the latest engineering solutions and best practices adopted across the ML community, while staying informed about emerging solutions in both computer vision and NLP domains and understanding the specific problems they address.
What will your job look like:
Your role will include developing production deployment systems for classical and machine learning algorithms from research and building robust, scalable inference pipelines.
You will develop primarily in Python and infrastructure tools (Kubernetes, Docker, etc.), taking part in both maintaining existing deployment systems and developing new production capabilities.
Finally, you will need to learn and implement new deployment technologies and best practices that can address emerging production challenges as they arise, while staying current with the latest MLOps and inference optimization techniques.