Jobs in Jerusalem

You will be part of Mobileye's Autonomous Vehicle Validation division, working within our state-of-the-art multidisciplinary validation laboratory. Our facility houses hundreds of test benches that simulate autonomous vehicles, enabling comprehensive validation of autonomous driving systems across all AV projects. We serve as the critical interface between software and hardware, managing the complex system as an integrated whole. Our primary challenge is scaling operations to support diverse projects through unified infrastructure while maintaining consistent quality standards across all platforms. What will Your job look like: • Develop and implement complex architectures with system and integration teams. • Build advanced testing tools and optimize laboratory processes. • Equipment maintenance and technical documentation. • Bring up new systems and sensors. • This role involves continuous learning of emerging technologies and direct support of business objectives for continuous customer delivery. All you need is: • Bachelor's degree in Electronics Engineering or equivalent field. • Minimum 3 years of experience in electronic systems integration or engineering. • Proven experience in validation environments. • Working knowledge of Linux, SHELL, BASH, and basic Python scripting. • Strong multidisciplinary collaboration skills across hardware, software, and systems teams. • Proven ability to manage multiple technical interfaces simultaneously and work effectively in multidisciplinary environments. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye builds camera-based ADAS and autonomous-driving systems with leading OEMs. This role is part of the Optical Path System Architecture and Integration team: the group that takes a new sensor integration from early requirements to a fully validated optical path. As Camera System Engineer you will drive the full integration lifecycle of complex real-time embedded systems — bridging hardware platforms and software stacks from early requirements definition and platform bring-up through system-level validation and verification. You will support pre-nomination and help close optical-path requirement gaps. Working closely with the Camera SW team and providing the pre-requisite they need for development and productization. What will your job look like? • Define bring-up prerequisites and phases with architecture and program managers. • Support Bring up of optical path devices (Sensor, Serializer, Deserializer). • Review and contribute to Hardware-Software Interface specifications (register maps, memory maps, interrupts, boot sequences) • Support pre-nomination requirement definition, including customer-facing meetings when needed. • Support architecture with optical path feature requirements and sensors bring up requirements. • Support SW/HW integration test strategy including HIL setups and CI automated regression. • Deep co-debugging using Saleae, logic analyzers, and oscilloscopes; root cause analysis across hardware errata, timing, and firmware issues. All you need is: • B.Sc./M.Sc. Computer Engineering/ Electrical Engineering or equivalent. • 7+ years in embedded SW/HW integration, platform bring-up, or firmware engineering. Proven ability to debug issues that cross hardware, firmware, and camera software. • Hands-on experience in C/C++, Python; Assembly for debug. • Experience in SoC architecture, schematics, power/clock domains. • Experience with ADAS/automotive embedded systems, MIPI, and SERDES technologies (e.g., GMSL, FPD-Link, A-PHY)-Advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

At Mobileye, our algorithm developers are part of teams shaping the next generation of autonomous driving technology. We develop sophisticated algorithms, validation solutions, and advanced tools to evaluate neural networks and applications within complex autonomous driving systems. Our work also includes developing advanced Ground Truth generation solutions using powerful offline neural networks and other techniques to improve the quality, scalability, and efficiency of data annotation and validation. What will your job look like: • Develop algorithms and full-stack applications to support the validation of advanced neural networks and autonomous driving technologies. • Design and implement advanced Ground Truth generation solutions using state-of-the-art offline models and other approaches. • Solve complex algorithmic problems across multiple domains, including mapping, geometric analysis, and statistical performance evaluation. • Develop scalable tools and applications to analyze, visualize, and demonstrate algorithm performance in real-world driving scenarios. • Research, evaluate, and implement state-of-the-art techniques to improve algorithm accuracy, validation quality, and development efficiency. • Collaborate with multidisciplinary teams to deliver innovative solutions that support the safe development of autonomous driving features and advanced driver-assistance systems. • Take ownership of projects from problem definition and algorithm design through implementation, integration, and performance evaluation. All you need is: • BSc or MSc in Computer Science, Engineering, or a related field. • 5+ years of experience in algorithm development or software engineering. • Proven software development experience and strong programming skills. • Strong Python programming skills. • Solid algorithmic and problem-solving abilities, including experience with geometric or data-driven algorithms. • Experience designing and developing end-to-end software solutions. • Ability to independently investigate complex problems, learn new technologies, and drive tasks to completion. • Strong analytical skills and the ability to evaluate algorithm performance using data and statistical methods. Advantages: • Experience with machine learning, deep learning, or computer vision. • Experience with neural networks and automated Ground Truth generation or data annotation pipelines. • Experience with Java, Angular, SQL, or full-stack application development. • Experience working with large-scale datasets and developing tools for data analysis and visualization. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

The SW validation team plays a key role in enabling the next generation of autonomous driving technologies. In their primarily Python-based development environment, they are responsible for developing and maintaining test content for the autonomous vehicle brain, supporting complex end-to-end validation flows across the system. As part of the full autonomous driving pipeline, they work closely with cutting-edge technologies and gain direct exposure to the real-world impact of their work — helping bring some of Mobileye’s most advanced autonomous driving capabilities from development into reality. 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. All you need is: • BSc in computer science or computer engineering. • Experience in python - must. • 3 years of experience in development or SW validation. • Experience with Linux user space and bash scripts. • Strong capabilities in triage and debug of SW system issues. • Knowledge and experience in CI/CD (Jenkins) - advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives. In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise. The work at Mobileye’s algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams at Mobileye. What will your job look like: • Your job will include a combination of classic programming and algorithm development. • You will develop in both C++ and python. • You will need to both maintain the product and develop new features. • Learn and develop new algorithms which can address new problems as they arise. All you need is: • B.Sc. in Mathematics, Physics, or Computer Science. • Experience in development in C++. • Proven ability to solve complex problems. Nice to have: • Advanced degree (M.Sc. or Ph.D.). • Experience in Python and NumPy. • Experience in statistical estimation. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

In this position, you will be part of the EHS team supporting Mobileye campuses, with a primary focus on the Haifa, Jerusalem, Tel Aviv, and Petah Tikva sites, as well as remote locations across Europe, the U.S., and China. The team's areas of expertise include Environmental Management, Industrial Hygiene, Safety, ESG, Occupational Health, and Ergonomics. The team supports Mobileye’s business units across Research & Development, Operations and Maintenance, Logistics, Sales & Marketing, Human Resources, and more. This position requires on-site presence at our Jerusalem offices 5 days a week. What will your job look like? • Act as Mobileye’s appointed Safety Officer and serve as the focal point for all occupational health and safety activities across the organization. • Lead the company’s safety strategy, ensuring alignment between business objectives, regulatory requirements, and operational needs. • Lead ISO 45001 certification and surveillance audits, ensuring compliance and promoting operational excellence. • Design and manage safety training and awareness programs for employees, managers, laboratories, workshops, and contractors. • Monitor safety performance through KPIs, compliance metrics, trend analysis, and reporting systems to drive continuous improvement. • Lead risk assessment activities, manage incident investigations, compliance inspections, corrective action tracking, and mitigation programs across multiple sites and functions. • Build and execute the annual Occupational Health & Safety work plan, including goals, priorities, and improvement initiatives. • Integrate EHS requirements into engineering, infrastructure, construction, and operational projects from planning through execution and handover. All you need: • Certified Safety Officer qualification – must. • 5+ years of experience as a Safety Officer in a large-scale organization or complex operational environment. • Bachelor's degree in Engineering or a related technical field – advantage. • Strong knowledge of occupational health and safety regulations, risk management methodologies, and compliance frameworks. • Experience leading ISO 45001 audits and maintaining safety management systems. Fluent English, both written and spoken. • Excellent communication and stakeholder management skills, with the ability to influence and partner across all organizational levels. • Strong analytical, organizational, and problem-solving abilities. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

This role combines an understanding of business needs with hands-on technical work to improve how employees and managers use the organization’s information systems. You will guide projects from the first conversation with the customer and understanding their needs, through writing specifications and defining the solution, to implementation, testing, training, and go-live. The work includes managing customer projects, collaborating with internal teams, and working with vendors to define clear requirements, agree on expectations, and ensure the results meet business needs. Alongside planning and project management, this is a hands-on role that includes configuring workflows and permissions, writing SQL queries, building reports and dashboards, troubleshooting issues, and developing solutions using AI tools. We are looking for someone curious and independent, who can communicate clearly with users and vendors and also work through technical details. Familiarity with asset management systems such as Hexagon or experience implementing ERP systems, experience with iPaaS integration platforms, and a software development background are all strong advantages. What will your job look like? • Manage requirements and asset management systems, including workflows, user accounts, permissions, custom fields, dashboards, reports, and project setup. • Gather and analyze business needs, define processes with stakeholders, and write clear functional and technical specifications. • Manage projects from planning to delivery with customers and business teams. Define the scope, build schedules, track progress, and provide status updates. • Work with vendors, explain business and technical requirements clearly, agree on expectations, and check that delivered solutions meet the requirements. • Configure and improve systems, compare possible solutions, and roll out changes and fixes. • Write complex SQL queries to retrieve and analyze data, investigate issues, and support reports and business processes. • Use AI development tools to build and improve solutions, and review, test, debug, and maintain the code they generate. • Train and support users, maintain training materials, and manage the support ticket queue. • Build dashboards and real-time reports that help users and managers make informed decisions. All you need is: • A bachelor’s degree in Industrial Engineering, Information Systems Management, or a related field. • At least 4 years of experience administering applications and designing, configuring, and implementing information systems. • Strong SQL query writing skills and a good understanding of relational databases. • Ability to develop solutions using AI tools and check the quality and correctness of the results. • Ability to write clear specification documents and manage customer projects from start to finish. • Experience working with vendors, defining clear requirements, explaining business needs, and checking that proposed solutions meet those needs. • Strong written and spoken Hebrew and English, with the ability to explain technical topics to different audiences and deliver structured training. • Strong learning and problem-solving skills, ownership, and self-motivation. Ability to work independently and in a team and manage priorities in a changing environment. Nice to have: • Familiarity with asset management systems such as Hexagon, or experience implementing ERP systems. • Familiarity and hands-on experience with iPaaS platforms used to connect systems and automate data flows. • A software development background and practical coding experience.

Mobileye is seeking a brilliant Product Execution Manager to lead the execution of advanced algorithmic products – Computer Vision, LiDAR, Radar, and Camera – for global automotive partners and Mobileye’s internal AV development. ** This role may offer the flexibility to work 1-2 days per week from our other sites, subject to seat availability. What will your job look like: • Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients. • Lead complex development projects from the requirements phase through to implementation. • Closely track development progress and obtain approvals for technical requirements from R&D teams. • Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product. • Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently. • Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning. • Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack. All you need is: • Strong executor with vast leadership background and hard work ethic. • B.Sc. in Computer Science or a related engineering field. • At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products. • Proven experience in customer-facing positions. • Excellent communication and management skills. • Fluent in English and Hebrew. Nice to have: • M.Sc./MBA. • Development background. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Join Mobileye's Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. As a team member, you'll contribute to levels L2+ L3, L4 and L5 autonomy, where vehicles navigate complex environments and make decisions with minimal human intervention. What will your job look like: • Design, develop and maintain core C++ software components that power Mobileye's next-generation autonomous driving systems. • Own features end-to-end, from requirements and architecture through implementation, testing, deployment and ongoing support. • Drive software architecture, scalability, reliability and code quality, leveraging engineering best practices, design reviews and continuous improvements. • Solve complex system- level and real time challenges, optimizing performance, memory utilization and execution efficiency. • Contribute to the development of innovative Autonomous Vehicle (AV) technologies, delivering high-impact solutions for internal and external customers. All you need is: • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or a similar field. • 3+ years of experience in C++ programming . • Strong focus on system architecture and design principle. • A deep systems-level understanding and the ability to integrate complex components. Nice to have: • Experience in Python. • Experience developing in Linux operating system. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

The ISR Group at Mobileye leads Autonomous Vehicle Experiments and Vehicle Technology Integration. The group is responsible for the bring-up and integration of complex hardware and software systems into autonomous vehicle fleets, the retrofitting of autonomous driving technologies, and supporting both internal and external development projects. We are looking for an integration professional with a strong technical background and excellent hands-on capabilities to lead the setup, maintenance, and complex troubleshooting of these systems throughout their development lifecycle. What will your job look like: • Lead and execute HW-SW integration (Bring-up), configuration, and validation for complex autonomous systems. • Demonstrate a deep understanding of system internals: configuration, communication networks, sensors (cameras, radars, LiDARs), computing platforms, and their seamless integration. • Perform hands-on work and physical installations on vehicles as an integral part of the role. Alongside system-level expertise, the work includes the practical integration of components within the vehicle environment (including wiring, soldering, cable crimping, and the use of tools) to ensure full on-site independence, real-time troubleshooting capabilities, and end-to-end issue resolution. • Investigate and troubleshoot complex issues in a multidisciplinary environment (software, hardware, mechanics, networking, and operating systems) and perform Root Cause Analysis. • Provide ongoing maintenance for various vehicle systems and offer technical support to R&D teams during experiments. • Develop, maintain, and utilize scripts and tools to streamline integration, testing, and debugging processes. All you need is: • 3+ years of experience in system engineering processes, integration of complex electronic/embedded systems, and system Bring-up. • Proven and strong hands-on capabilities: practical experience working with tools, performing mechanical assemblies, wiring, soldering, and installing AC/DC power systems. • Good understanding of networking and communication protocols (e.g., TCP/IP). • Experience working with lab and testing equipment: OBD2, Multi-meter (Fluke), Oscilloscope, and Sniffers. • Ability to independently analyze and troubleshoot complex, integrated systems using a structured and systematic approach. • High-level English (reading, writing, and speaking). • Prepared for international travel (several times a year) and working On-Site. Nice to have: • Experience in the Automotive industry. • Knowledge and practical experience working in Linux environments. • Hands-on familiarity with automotive communication protocols: CAN, CAN FD, Automotive Ethernet, FlexRay. • Experience developing automation tools or scripts (e.g., Python). • Familiarity with automotive diagnostics and analysis tools (e.g., Vector). • Prior experience with ADAS and autonomous driving systems. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

MEQ (Mobileye Quality) team is responsible to foster quality and excellence in Mobileye's products and processes across the entire company. MEQ team focuses on ensuring high customers' satisfaction through continuous improvement and implementation of automotive standards and best-practices such as ASPICE, IATF16949, ISO 9001, VDA/AIAG Core Tools and ISO26262, both internal and across the entire supply chain. In order to support MEQ objectives, The QMS & Production Quality team is looking for a Production Quality Engineer What will your job look like: • Define and implement production quality framework and workplan for Mobileye's systems' NPI and serial production activities (from scratch) • Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers). • Work with contract manufacturers to analyze the production process, process capability, process capacity and measurement systems capability. • Assess and control the activities through performing VDA6.3 audits • Lead/Support 8D multi-disciplinary teams to investigate faults and failures • Lead and update PPAP folders for Mobileye's systems • Identify opportunities for improvement and execute them. • Create relevant work items templates and coach the teams how to use them. • Assess KPIs of processes and activities and suggest corrective actions and improvement. • Represent production quality related issues with customers, suppliers and 3rd party organizations All you need is: • At least 5 years hands-on experience in quality of NPI and production processes in multidisciplinary systems' design & production companies (Automotive industry - significant advantage) • Knowledge in automotive core tools, standards and best practices - significant advantage • Certification and experience as supplier auditor per ISO19001 (VDA6.3 certification - significant advantage) • Experience in working with information systems - PLM, ALM, Jira (Working with Agile PLM & Polarion ALM - an advantage) • Highly organized, "Can-do" approach, Process-oriented, able to manage and follow-up on many tasks in parallel. • Able to work in a matrix organization while interfacing with diverse technical stakeholders. • Excellent communication skills in English (both verbal and written) • Able and willing to travel abroad • Bachelors degree - advantage Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for an experienced Software Engineer to join our Algorithms organization and help build the systems, tools, and workflows that support large-scale data operations and analysis. In this role, you will take ownership of designing and developing solutions that streamline data request management, pipeline monitoring, reporting, and operational workflows across multiple products and systems. You will work closely with algorithm developers, analysts, product stakeholders, and infrastructure teams to transform ad-hoc processes into scalable, maintainable systems. The systems and tools will coordinate work through the workflow, detect blockers and rerun needs, and provide a reliable operational view across requests, products, and issues. We are looking for an engineer with strong system-level thinking, a proactive mindset, and the ability to independently define requirements, identify gaps, and drive projects from concept to production. What will your job look like: • Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring. • Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions. • Transform manual processes and ad-hoc scripts into robust production-grade systems. • Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows. • Take ownership of projects from system design through deployment and continuous improvement. • Develop primarily in Python within modern production environments. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related technical field. • 3+ years of software engineering experience in production environments. • Experience designing, building, or maintaining production systems with a broad system-level perspective. • Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components. • Strong programming skills in Python. Nice to have: • Experience with Kubernetes, Docker, or similar containerized environments. • Experience working with CI/CD processes and deployment pipelines. • Exposure to algorithm development environments or machine learning workflows. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments. The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving. What will your job look like: • Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems. • Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks. • Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning. • Combine learning-based methods with classical optimization and geometric algorithms. • Own the entire lifecycle from prototyping to deployment. • Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions. • Drive innovative solutions for high-precision localization at production scale. All you need is: • 2+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are seeking a detail-oriented Product Environmental Compliance Specialist to ensure our company's adherence to applicable environmental, materials and product compliance regulations. The ideal candidate will have a strong understanding of environmental compliance requirements and the ability to interpret, implement, and monitor regulatory obligations throughout the product lifecycle. How your job will look like? • Stay up to date with evolving global regulatory requirements and industry standards, ensuring compliance across all relevant areas. • Manage and maintain compliance systems and tools (e.g., Silicon Expert, Agile, and similar platforms), ensuring accurate regulatory data, reporting, and support for compliance processes. • Monitor and interpret changes in environmental and product compliance regulations and standards (e.g., RoHS, REACH, ELV), assess their impact, and coordinate implementation of required actions. • Collaborate with product, engineering and development groups to conduct thorough risk-assessments, identify potential compliance risks and develop effective mitigation strategies. • Develop and maintain compliance policies and procedures, to ensure requirements are integrated into product design and development processes. • Obtain, review, and maintain required compliance documentation, certifications, and regulatory declarations. • Train staff in compliance with requirements and best practices. All you need is: • BA degree in a relevant field or 5+ years of experience supporting product environmental and regulatory compliance programs, preferably in the automotive, semiconductor, or electronics industries. • Strong knowledge of global product compliance regulations applicable to electronics, semiconductors, and automotive products, including RoHS, REACH, Conflict Minerals. • Familiarity with additional trade compliance areas, such as customs, export controls, and other international trade regulations, is an advantage • Strong analytical and problem-solving skills. • Excellent communication and interpersonal skills. • Ability to manage multiple projects and meet challenging deadlines. Additional Skills - • Attention to details. • Good Interpersonal and communications skills at all levels of the organization. • Able to quickly build strong credibility with business partners. • Risk assessment and management. • Regulatory research and analysis. • Willingness to expand the roles and responsibilities according to the company's growing objectives.

We are seeking a hands-on Cyber Security Operations Specialist with strong SIEM/SOAR and Cyber Analyst capabilities. You will work closely with SOC analysts, IT, cloud, infrastructure, and engineering teams to improve security visibility, reduce response times, and continuously enhance the organization’s cyber resilience. The ideal candidate combines strong analytical and investigative capabilities with practical experience in security monitoring, log analysis, detection engineering, scripting, and security-tool integrations. This position requires on-site presence at our Jerusalem campus 4 days per week, with the option to work from home one additional day. What will your job look like: • Develop, test, tune, and maintain SIEM detection rules, correlation logic, dashboards, and alert thresholds. • Integrate security tools and services using APIs, webhooks, scripts, and automation platforms. • Analyze logs and telemetry to identify suspicious or malicious activity, assess impact, and determine the appropriate response. • Monitor, triage, and investigate security alerts from SIEM, EDR, cloud, identity, email, and network-security platforms. • Build and enhance SOAR playbooks to automate alert enrichment, investigation, case management, notifications, and approved containment actions. • Validate SIEM data coverage, log quality, parsing, ingestion health, and retention across security-relevant systems. • Collaborate with IT, cloud, infrastructure, identity, network, and engineering teams to contain incidents and drive remediation. • Create and maintain incident-response runbooks, investigation guides, detection documentation, and automation procedures. • Translate investigation findings and post-incident lessons learned into improved detections, automation workflows, and security controls. All you need is: • 1-2 years of hands-on experience in Security Operations, SOC, Cyber Analysis, Incident Response, or Detection Engineering - Must. • Practical experience operating and maintaining SIEM platforms, including log onboarding, parsing, developing and tuning detection rules and alerting use cases - Must • Excellent written and verbal communication skills for documentation and reporting in English. • Experience analyzing security telemetry from different systems such as EDR, Windows and Linux systems, identity services, cloud environments, email-security tools, firewalls, DNS, proxy, VPN, and network devices. • Strong understanding of common attack techniques, the cyber kill chain, and the MITRE ATT&CK framework. Nice to have: • Proficiency in SIEM query languages such as KQL or SQL. • Experience with scripting or automation using Python, PowerShell, Bash, REST APIs, JSON, or webhooks. • Familiarity with SOAR platforms and automation workflows for alert enrichment, investigation, case management, and response. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

You will be part of Mobileye's REM (Road Experience Management) department, responsible for the automatic 3D High Definition map making process, a key technology powering Mobileye's autonomous driving and advanced driver assistance systems. This process runs large‑scale algorithmic pipelines on big‑data infrastructure and requires a deep understanding of the team level code, a good understanding of the data flow integration with the group level, along with strong technical and algorithmic capabilities. We are seeking a geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety. What will your job look like: • Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems. • Implement and maintain production‑level Python code within a complex, large codebase. • Analyze large datasets and build scalable solutions using scientific and big‑data tools. • Take algorithms from research and prototyping through production deployment. • Continuously research and develop new algorithmic approaches to address emerging challenges. • May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms. All you need is: • B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field. • 5+ years of experience working with large production codebases. • 2+ years of experience developing scientific or data‑intensive applications in Python. • Proven ability to solve complex problems. Nice to have: • Advanced degree (M.Sc. or Ph.D.). • Experience in statistical estimation. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for Mobileye’s Road Experience Management (REM) platform. Your team is responsible for capturing, processing, and validating massive streams of crowdsourced data from millions of vehicles worldwide in real time.This is a hybrid leadership and technical role. You will lead a squad of engineers while remaining hands-on in architecting resilient, ultra-high-throughput distributed systems that power the future of autonomous driving and advanced mapping. What will your job look like: • Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery. • Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency. • Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning. • Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs). All you need is: • 2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment. • 5+ years of deep backend experience building high-scale, distributed cloud architectures. • Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent). • Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes). • Proficiency in Node.js and/or Python. • Solid understanding of high performance relational/NoSQL databases. • Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats). Nice to have: • Experience with task queues and stream processing frameworks (Celery, Spark etc.). • Background in geospatial data processing or handling. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems. What will your job look like: • Work on developing and optimizing control algorithms for the vehicle. • Run and analyze simulations to test autonomous vehicle in virtual environments. • Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers. • Working with communication protocols and interfaces for both internal and external communications with different components of the system. • Customer facing workshops to discuss and test your algorithms. • Testing your algorithms in an Autonomous vehicle. All you need is: • B.Sc. in Software/Mechanical/Aerospace Engineering. M.Sc - advantage. • Background in control design and method for embedded systems or robotics (at least 3 years of experience). • Proficient in C++ & Python (at least 2 years of programming). • Experience in Linux. • Experience in Simulink RT - Advantage. • Willingness to travel a few times a year abroad.

We are looking for an M.Sc. Graduate Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar) - Must • B.Sc. from a leading university • Solid background in Machine Learning and Deep Learning • Strong Python development skills • Highly motivated, hard-working, proactive, and driven to solve challenging problems • Ability to operate in a fast-paced research & development environment Advantages: • PhD or relevant academic publications • Experience with Linux, Git, Docker, C++ • Knowledge in 3D perception, computer vision, or robotics • Industry experience working on CV and Deep Learning Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

You'll join Mobileye's REM (Road Experience Management) department. REM is an end-to-end mapping and localization engine that supports full autonomy capabilities and services. Building validation processes and methods for a technology of this scale is challenging, meaningful and rewarding work. The system is complex and based on machine learning and image processing, so analysis and validation take deep thinking and strong technical and analytical skills. You'll develop validation infrastructure, tools and methods using cutting-edge technology and cloud-based applications. We use AI wherever it helps: to automate routine work, improve code quality and make our development process more efficient. What your job will look like: • Plan and build advanced, end-to-end validation processes for REM mapping and localization. • Build validation tools that use geometric calculations, logic and heuristics. • Add new features to the validation pipeline and make it more sensitive, faster and better. • Use AI tools to improve the development process, for example automated code review, unit-test generation and automating repetitive tasks. • Work with algorithms and tools from other R&D groups and build them into the validation infrastructure. • Analyze large-scale data on the cloud and turn the results into clear conclusions. All you need is: • B.Sc. in Computer Science, Software Engineering or a related field. • 3+ years of hands-on software development, with Python in production (Pandas, NumPy, SciPy, etc.). • Good coding practice: Git, testing, CI/CD. • Daily, hands-on use of AI coding assistants and agents (e.g., GitHub Copilot, Claude Code, Cursor). • A critical eye for AI output: reviewing, testing and checking AI-generated code and results. • Strong analytical skills, with broad vision and technical depth. • Good communication and teamwork across groups. • Fluent English. Nice to have: • Experience automating development and data workflows with LLM-based tools and agents. • Knowledge of descriptive statistics, probability and statistical inference. • Geometry or geospatial work (Shapely, GeoPandas, coordinate systems). • Cloud and distributed processing (AWS S3/Athena, SQL, Spark/PySpark). • Computer vision, ML or mapping/localization. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!