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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 an Embedded Software Engineer to join the development of state-of-the-art automotive imaging radar technology.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging assets and expertise in this field. Introducing best in class Radar sensor that would complement end-to-end autonomous driving solution platform
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like?
Develop embedded Software / FW for RTOS-based embedded system
Participate in System Level Design and Architecture defining hardware-software interface and interaction.
Successfully collaborate with system, algo, silicon, and hardware teams
Support system integration

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

Were looking for a Solutions Engineer  to join us and spread our power. In this role, you will work alongside a team of Wizards that focus on understanding the technical business needs of our customers.
WHAT YOULL DO
Partner with the sales team to provide technical leadership to our customers and prospective customers while helping your team meet their quarterly sales targets.
Give presentations to our customers and prospective customers, such as whiteboards, product demonstrations, slides, and proof of value outcomes.
Help our customers and prospective customers plan in-depth test plans for showing the value of the platform in their environment.
Invest time in learning new product features, industry-related developments, and broadening your overall technical skill set.
Represent us in technical forums, such as trade shows, technical meetups, and industry events.

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 seeking a Product Technical Architect to join the elite CTO Experts team, an exclusive and global group. Our mission is to spread our power by mastering the product inside and out, guiding the world's leading cloud security teams to secure their cloud using an entirely new security approach. This role combines deep technical ownership with hands-on execution, driving product innovation and strategic influence while serving as a key bridge between Product, R&D, and customers.
WHAT YOULL DO
Own a critical technology domain.
Serve as the top technical authority for product architecture, complex escalations, and field challenges.
Identify & Close Critical Product Gaps: Proactively identify customer needs and product limitations, develop tools and Proofs-of-Concept (PoCs) to address them.
Hands-on Problem Solving: On any given day, you may model customer environments, write scripts, conduct tests, build dashboards, and implement product improvements.
Customer Engagement: Work closely with the world's leading cloud security teams, meeting directly with strategic customers to understand their challenges and architect bespoke solutions.
Develop Novel Tools: Continuously innovate by building new automations, analytical engines, and AI-driven PoCs (e.g., for test generation).
Internal Enablement: Formalize product knowledge for internal and external reference and build knowledge for customers and field technical experts.

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

Our group is at the forefront of developing the world's most advanced software technologies and hardware architectures for autonomous vehicles.
Our team is responsible for the development of a fully automated end to end validation solution.As we are part of the end-to-end autonomous vehicle flows, we get to see the direct outcome and value of our work in the most advanced use cases which are developed .
What will your job look like:
Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows
Review and approve system architecture requirements
Design and implement complex test solutions
Enforce compliance with autonomous vehicle industry standards

HW Engineering Platform Group is seeking a highly motivated experience Hardware Development Project Manager to drive and monitor the execution of hardware development projects, specifically focusing on SoC/HW Platform, through all development phases. The successful candidate will ensure projects are delivered on time and meet product-defined milestones and KPIs. This role requires strong communication, leadership, and project management skills, as well as the ability to collaborate effectively with cross-functional technical teams.
What will your job look like:
Manage various projects within the teams, ensuring alignment with strategic objectives and priorities.
Develop and maintain project plans, schedules, and budgets, tracking progress and ensuring adherence to timelines and milestones.
Identify and mitigate project risks and obstacles, proactively addressing issues to minimize impact on project timelines and deliverables.
Coordinate with cross-functional teams to define project scope, objectives, and deliverables.
Communicate project status, updates, and risks to stakeholders, providing regular reports and presentations as needed.
Foster collaboration and communication among team members, promoting a culture of transparency, accountability, and continuous improvement.
Drive and monitor the execution of hardware development projects (SoC/HW Platform) through all development phases.

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're looking for a frontend engineer to join our R&D team and spread our power. We are widely recognized for bringing a consumer-grade user experience to the complex world of enterprise security.
You will be responsible for developing the Portal-the unified platform used by security, DevOps, and engineering teams worldwide. Your mission will be to turn massive-scale cloud data into intuitive, high-performance visualizations and actionable insights.
WHAT YOULL DO
Build with a modern stack: TypeScript, React, GraphQL, Apollo, Tailwind, and more.
Focus on deep frontend expertise: We don't believe in generic "full-stack." You will be the frontend authority, collaborating with backend developers who own the microservices while you own the UI and the API schema definition.
Own the full lifecycle: Drive features from design and architecture through to development, testing, and production monitoring.
Solve complex UI challenges: Build interactive data visualizations and high-performance dashboards that handle large-scale datasets.
Drive technical excellence: Lead code reviews, mentor peers, and make architectural decisions that improve our scalability and developer velocity.

We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive our growth.
In this role, you'll be responsible for developing and maintaining large-scale distributed components that power us.
We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud.
Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more.
WHAT YOULL DO
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring)
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features.

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.