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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.

Were looking for a Data Researcher to join the AI Research Team and spread our power. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.

Join us in building the brain behind the car - a large-scale, multi-task neural network that powers the core of autonomous driving stack.
In this role, youll design, train and evaluate cutting-edge deep learning models optimized for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight compute constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre an outstanding student with a passion for shaping the future of AI and autonomous driving - this is your launchpad.
What will your job look like:
Design, implement and train deep learning algorithms to solve complex real-world problems
Collaborate with cross-functional teams to understand requirements and deliver robust solutions
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve performance and accuracy
Optimize deep learning algorithms and DNN architectures for performance, efficiency, and scalability
Stay up to date with the latest advances in deep learning, AI architectures, and multi-task learning, and apply them in production settings

Are you passionate about designing cutting-edge solutions for complex, high-impact challenges? Do you have an eye for detail and a knack for seeing the bigger picture?
our Platform Architecture team plays a pivotal role in seamlessly shaping system architecture into high-performance systems that drive the future of autonomous driving. In this role, you will specialize in optical path architecture - ensuring the smooth and reliable flow of data from cameras to the system, and the optimal functioning of entire optical array.
By joining us, youll collaborate with top engineers to develop innovative systems that not only shape the evolution of our industry-leading products, but also contribute to advancing the future of mobility. As part of our mission, youll play a key role in making the world a safer place through autonomous driving technology.
What will your job look like?
Define Optical Path System Architecture: Develop system and software requirements that ensure correct data flow from cameras into the system, enabling optimal performance of optical array
Define Optical path SW requirements: Understand ME SW architecture and flows and define SW requirements addressing new customer / Tier 1 requirements
Design and define: architectures and flows for critical optical functions, including image acquisition, synchronization, data integrity checks, and diagnostics, ensuring robust and reliable optical system performance
Engage with customers: analyze and understand customer requirements related to optical systems and maximize alignment with existing solutions
Collaborate with Product Managers: Ensure optical path requirements are in sync with system architecture and that both software and hardware developments meet system-level objectives
Work closely with Project Managers: Define, map dependencies, and prioritize the scope of customer releases involving optical components
Innovate with Sensing, Driving, and Fusion teams: Optimize overall system performance by integrating optical path considerations with other sensing modalities

We're looking an experienced 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 our power.
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.