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The WAF Core Engine team is expanding! We're looking for an experienced and independent software engineer to join us. As part of our CloudGuard WAF product, you'll play a key role in designing and developing cutting-edge security solutions to tackle evolving industry challenges. This role requires combining low- and high-level programming, architecting complex systems, and leveraging data analysis to enhance performance and detection capabilities. Its a unique opportunity to drive innovationnot only within our product but across the broader security landscape.
Be part of a new team in a global, stable company while enjoying a dynamic, start-up-like environment.
Shape the future of CloudGuard WAFyour contributions will have a direct impact on both our product and the industry.
Solve diverse, cutting-edge challenges in web protection, AI-powered threat detection, and data-driven security.
Collaborate with passionate experts, expand your skill set, and advance your career in one of the most exciting domains in cybersecurity.
Key Responsibilities
Design, develop, and own end-to-end POCs and core features for the WAF engine in complex environments.
Write high-quality, secure, and efficient code following best practices.
Work closely with cross-functional teams (R&D, Product, QA) to deliver innovative and high-impact solutions.
Utilize data analytics and big data technologies to detect and mitigate security threats.
Provide technical support, troubleshooting, and maintenance for developed functionality.

As a Principal Engineer at Via you will be instrumental in shaping the R&D Groups technical vision, working on high-impact projects crucial to the companys success. You will be a pivotal leader, guiding engineers and maintaining the highest standards of technical excellence. You will design, develop, test, deploy, maintain, and enhance software solutions, contributing to the development of Vias cutting-edge server software and scalable, robust infrastructure.

What Youll Do:
Shape the Groups technical landscape, driving innovation and technical excellence.
Influence the architectural design, making key decisions in how systems are structured.
Lead complex technical projects, ensuring timely delivery to meet key business objectives.
Provide technical leadership and expertise, and mentor engineers to reach the highest standards of technical excellence, fostering a culture of innovation and continuous improvement.
Drive system design, architecture, and integration efforts.
Collaborate with cross-functional teams to define project requirements and deliverables.
Develop high-quality code and participate in code reviews to ensure adherence to standards.
Stay current with industry trends, emerging technologies, and best practices to drive continuous improvement initiatives.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of our companys strategy.
Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.
If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.
Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization.

Required Senior Embedded Linux Software Engineer
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain software across a variety of microcontroller platforms.
Execute the integration of hardware components, including but not limited to sensors and cameras, through established communication protocols.
Diagnose and resolve software and hardware malfunctions within embedded systems.
Facilitate communication through CANBus and other automotive industry standards.
Continually monitor advancements in AI and embedded systems technology.

Join our AI & Innovation group as an AI Software Developer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.
Our group is building an ambitious, AI-powered product at the heart of our companys strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.
If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.
Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment.

As a Principal Infrastructure Software Engineer, you'll join our R&D center in Tel Aviv. You'll be a pivotal member of a cross-functional group working with multiple development teams to build the infrastructure, tooling, and standards for infrastructure and infra-related coding across our company's R&D. This role emphasizes research, programming, building scalable systems, and hands-on operational work in production environments. You'll play a critical role in shaping the future of transportation, affecting millions of riders daily worldwide.

What Youll Do:
Develop, drive, execute, and lead a long-term vision and strategy for our infrastructure, and tooling.
Create scalable, reliable, and efficient systems that enhance our technological foundation and support our growing scale and stability requirements.
Engage in hands-on coding and development, writing, building, deploying, and maintaining code in production environments.
Actively participate in day-to-day production operations alongside research and development, implementing real changes in production systems and directly addressing operational challenges.
Work closely with various development teams, moving between the four teams in our group as needed to address business objectives and tackle the biggest R&D challenges.
Work across a broad spectrum of technological disciplines, from network and operating system internals to high-level architecture planning.

Required Senior Deep Learning Algorithm Developer- L2++ Group
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Join our global team of elite ethical hackers, working with both our company and non-company customers across industries worldwide. Collaborate with our companys research and Incident Response teams to uncover cutting-edge cyber threats, gaining exposure to the most advanced security challenges in the field.
Key Responsibilities
Conduct penetration testing on applications and network environments to identify vulnerabilities and security gaps.
Develop and document testing plans and penetration test reports with clear findings and recommendations.
Perform reconnaissance and network surveys to assess target environments.
Research security tools, exploits, and emerging threats, contributing to blogs and knowledge-sharing initiatives.
Analyze vulnerabilities, exploit weaknesses, and escalate access where applicable.
Assist in malware analysis and breach investigations to support incident response efforts.
Stay up to date with the latest attack techniques, tools, countermeasures, and technologies.
Mentor new team members and contribute to the development of tools, templates, and methodologies for penetration testing.

As a NOC Team Lead you will lead a team of Engineers who are actively monitoring our global systems and working closely with customers when they confront urgent issues.

The NOC Team Leader responsibilities include optimization of current processes and tools to ensure smooth operations and effective collaboration and communication, as well as to train, manage and mentor the NOC engineers.

What You'll Do:
Take active part in managing critical incidents from NOC perspective, including working with technical and business teams, and manage NOC workflows in these incidents.
Act as an escalation focal point within the NOC team, increasing NOC independence in technical areas.
Manage a growing team of NOC Engineers and their growth; Be in charge of the Engineers' professional level and constantly work to improve and develop it
Maintain and update NOC internal Knowledge Base and make sure it is up to date and well organized and accessible.
Improve NOCs monitoring and proactivity capabilities to achieve fast and accurate response to any issue.
Lead efforts for automating manual tasks such as auto-healing processes and routine tasks.
Lead processes of improvements within NOC based on incidents postmortems and data review.

Required Senior Computer Vision Engineer
Description
As a senior algorithms developer, you'll be at the forefront of building a reliable 3D understanding of the environment. This involves transforming image-plane detections into birds-eye view (BEV), followed by tracking, measurements, and optionally multi-sensor fusion. Your work will focus on estimating distance and kinematic properties for dynamic objects, and 3D positions for lanes, using techniques such as Kalman filtering, optical flow, polynomial fitting, and multi-frame reasoning over temporal data.
Youll collaborate with cross-functional teams to define requirements, process data, implement robust algorithms, and ensure consistent system performance under real-world conditions.
Responsibilities
Develop algorithms for 3D perception, including computational geometry, optical flow, multi-frame reasoning, and tracking
Build modules for object tracking and kinematic estimation, including distance (via geometric reasoning and road contact assumptions) and velocity (via temporal displacement and scale change from optical flow)
Design components for prediction, sensor fusion, and planner support
Analyze large-scale data, contribute to data pipeline design, and build tools to evaluate algorithm accuracy, robustness, and runtime
Diagnose and resolve algorithmic issues, including edge-case handling and performance bottlenecks
Take ownership of the full development cycle: from KPI definition and prototyping to validation, integration, and release
Collaborate with software, data, and validation teams to ensure seamless deployment and production readiness.

As a Lead Data Engineer, youll join a super-talented & motivated engineering team responsible for our Data Engineering team and will take a key role in our site in TLV. You will lead development and work with complex transportation data, design streamlined systems to process data from ride bookings, payments, and more, ensuring its clean, fast and serves our business needs.

What You'll Do:
You will be responsible for scalable data, pipeline, and backend services with challenging data algorithms.
Participate in the end-to-end development cycle of architecture, design, development, QA, deployment, and monitoring.
Work with talented engineers, and a broad forum of experts and stakeholders to create a stable and scalable product.
Build highly scalable, efficient, and available data pipelines/solutions, serving our data across the organization and to stakeholders.
Monitor data quality, proactively correcting discrepancies ensuring data reliability & accuracy.

our company's Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of digital threats with a unified solution.
At Cyberint, we help organizations protect their digital presence by delivering cutting-edge Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As a member of our R&D organization, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.
Key Responsibilities
As a DevOps Engineer, you will be a core member of our DevOps & Infrastructure team, focused on building and maintaining distributed, scalable, and highly available systems in a dynamic SaaS environment. You will collaborate closely with development, QA, and support teams to enhance automation, improve CI/CD pipelines, and drive operational excellence across the board.
Key Responsibilities:
Design, build, and maintain infrastructure in a modern cloud-native SaaS ecosystem (primarily AWS).
Contribute to the scalability and reliability of distributed systems supporting high-volume data processing and real-time operations.
Develop and enhance CI/CD pipelines to support rapid and reliable deployments across multiple environments.
Implement and manage Infrastructure as Code (IaC) using Terraform for consistent, scalable infrastructure.
Operate and optimize Kubernetes (EKS) clusters to support distributed microservices architectures.
Monitor and respond to system alerts, troubleshoot issues, and contribute to incident prevention and response strategies.
Build self-service tools and automation frameworks to empower R&D teams and enhance delivery velocity.
Work cross-functionally with developers, QA, and support to ensure infrastructure meets evolving product needs.
Write and maintain scripts (Python, Bash) to automate recurring tasks and streamline operations.
Continuously identify and execute improvements in system performance, availability, and cost-efficiency.