Mobileye

Mobileye Autonomous Driving software group is looking for an OS expert with strong knowledge in the Linux Kernel. As a Linux Operating System architect, you will be responsible to work with system and SW architecture teams to define OS solutions to satisfy customer requirements for the autonomous vehicle world. This involves security and connectivity components in Mobileye’s Safety critical Linux OS involving both the Kernel and the user space worlds. This is an exciting and unique opportunity to work with highly talented Linux OS team and be a leader in the development of the Linux as a platform for the Safety Critical Automotive industry. What will your job look like: • Defining and designing OS solutions for the security and high-speed connectivity requirements. • Conducting PoC activities to verify architectural decisions and resource allocation involving SW Simulators. • Writing architectural design specification documents, defining KPIs and testing criteria. • Working with the development teams closely to review design and test plan documents. • Performing performance analysis to maximize performance and optimize HW utilization while maintaining the real time behavior. All you need is: • Strong knowledge in Operating Systems in general and experience with the Linux Kernel specifically. • Proven experience in writing architectural specifications and conducting architectural reviews. • Strong experience in performance analysis and debugging techniques. • Experience with the MIPS & RISCV HW architecture and their implementation in the operating system. • Previous experience in PCIe and Security is a big 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!

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!

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: • B.Sc. in Computer Science, Software Engineering, or a related field from a leading university with a proven record of excellence. • M.Sc. with a research thesis is an advantage. • Strong programming skills in Python and C++. • Solid foundation in algorithms, data structures, mathematics, and computer vision or deep learning fundamentals. • Strong analytical skills, a high level of ownership, and the ability to work effectively in a collaborative environment. 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!

What will your job look like: • You will implement, maintain, and refactor operational codebases in C++. • You will coordinate interfaces, align API specifications, and integrate algorithmic modules with platform and vehicle systems. • You will reproduce bugs, resolve integration issues, and address system-level bottlenecks. • You will maintain technical documentation, API specifications, and workflow guidelines. • You will maintain and troubleshoot CI/CD pipelines and automated AI development tools. All you need is: • B.Sc. in Computer Science or Computer Engineering. • 1-2 years of software engineering experience; top-tier fresh graduates are welcome. • Solid proficiency in C++ and experience writing clean, modular, and maintainable code. • Familiarity with Linux, Git, and modern CI/CD software pipelines. • Experience with AI development platforms such as Cursor or Claude Code, including experimenting with them to improve development flows. • Strong understanding of software design best practices. Nice to have: • Experience with Python or scripting languages for build and integration automation. • Understanding of system architecture, IDLs, microservices, or modular frameworks. • Experience managing multi-team deliverables or tracking workflows using Jira or Confluence. 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 IMS Embedded Software team and help develop the real-time software behind one of Mobileye's production automotive platforms. Our technology enables commercial vehicle manufacturers to deliver advanced safety capabilities and meet Europe's General Safety Regulation (GSR) requirements. Since the regulation came into effect in 2024, the platform has secured production programs with approximately 60–70 manufacturers worldwide and continues to expand into new global markets. You'll work on complex embedded systems, collaborate with multidisciplinary engineering teams, and build software that helps make roads safer around the world. What will your job look like: • Own software features end-to-end, from design through implementation, integration, testing, and maintenance. • Design, develop, and maintain application-level software for complex real-time embedded systems using modern C++. • Participate in architecture discussions, design reviews, and technical decision-making. • Debug, troubleshoot, and optimize software for performance, reliability, and scalability. • Collaborate with multidisciplinary teams including Algorithms, Cloud, Product Management, Installation Tools, and other Embedded Software teams. • Mentor junior engineers and contribute to improving development practices. All you need is: • B.Sc. in Computer Science or Software Engineering. • 6+ years of hands-on software development experience. • Strong proficiency in modern C++. • Experience developing software for Linux-based systems. • Experience with embedded and/or real-time software development. • Strong software design, debugging, and problem-solving skills. • Experience owning features throughout the full software development lifecycle. • Familiarity with communication protocols such as TCP/IP, UDP, Ethernet, CAN, SPI, UART, or I2C. • Strong communication skills and the ability to clearly explain technical decisions. 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 looking for an experienced 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 Computer Science, Electrical Engineering, or a related field. • At least 2 years of industry experience developing deep learning–based computer vision algorithms. • Strong Python programming skills and hands-on experience with PyTorch. • Solid understanding of deep learning and computer vision. 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're on the lookout for a NOC Engineer to join our team in Jerusalem and work with a team of NOC engineers to support the operation of the network operation center. Our NOC Engineers monitor, troubleshoot, and proactively manage customer engagements through technical analysis and outstanding communication skills in multiple channels. What will your job look like? • Monitor the network, servers, hardware, routers, switches, firewalls, and remote technologies. • Field incoming calls, help clients troubleshoot IT 1st level issues, diagnose network and server problems, and provide resolutions. • Oversee the preventative maintenance of all networking equipment for various industries. • Document all incoming calls and record the technical issues addressed in each call. • Analyze data, build and provide reports base on that data. • Maintain logs of resolutions, communicate with vendors about ongoing problems, and use a ticketing system to update. information regarding the progress of each call. All you need is: • Engineering degree student with at least four semesters remaining. • Ability to work weekends and nights. • Ability to provide at least 3 shifts per week. • High level of English. • Knowledge in Python and C++ - 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!

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!

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.

The Mobileye Platform Product Management team is looking for a highly driven, experienced, and dynamic Cybersecurity Product Manager, to join our team and help shape the future of ADAS and Autonomous Driving systems. The team is leading Platform Products and Features Requirements and Execution, E2E, across all Mobileye teams and across projects. In this role, you will be involved in defining the product roadmap, and the product release planning, tracking the execution and helping in removing blockers, work with customers outside and inside Mobileye, to ensure the TTM and quality are met. What will your job look like? • Serve as a Technical solution architect/product manager for ADAS and Autonomous Vehicle SW features and platforms. • Work closely with the Autonomous vehicle Cybersecurity architects and ensure Cybersecurity is addressed through implementation, Validation to production. • Be a key person in planning and execution of Cybersecurity activities. • Work directly with Mobileye customers' Cybersecurity teams on their Cybersecurity requirements and deliverables. • Generate and maintain accurate and up-to-date requirement documentation for both internal and external stakeholders. • Lead and facilitate product and platforms cybersecurity related discussions with clients and technology managers. • Actively help improving processes across different teams. All you need is: • B.Sc. in Computer Science or a related SW engineering field - Must (MBA - Advantage). • At least 3 years in SW Architecture/Product Management role (build a roadmap and execute complex projects). • At least 2 years' experience in Cybersecurity and some SW development experience. • Ability to work in a multi-tasked and dynamic environment. • Fluent English and Hebrew, good presentation skills. • Excellent problem-solving, organizational and analytical skills (based on quantities and qualitative data), with proven ability to take initiative and build strong and productive relationships. • Leadership skills along with being a team player. Nice to have: • Experience in Automotive Cybersecurity and Cybersecurity standards. • Software development experience for embedded systems (e.g. Linux based systems, Real-Time software, Camera-based 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!

Mobileye is seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. What will your job look like: • Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives. • Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations. • Monitor progress and proactively drive issue resolution to maintain predictable delivery. • Define, track, and analyze execution KPIs • Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains. • Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints. • Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries. • Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers. • Drive transparency, accountability, and operational rigor across stakeholders. • Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks. All you need is: • BSc. in Computer Science, Electrical Engineering, or related fields. • 5-7 years of experience in program or product management, with hands-on development experience. • Ability to read, understand, and run code and scripts (e.g., Python, bash or similar). • Familiarity with development, CI/CD, testing, and data/ML tools. • Experience with deep learning development processes. • Excellent communication, organization, collaboration, and problem-solving skills. 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!

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!

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!

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.

Our vision is to bring new and cutting-edge automotive radar sensor solutions, leveraging our core assets and expertise to introduce the world’s best-in-class sensors in complement to end-to-end autonomous driving solution platforms. As an engineer joining our excellent group working on advanced mmWave Imaging Radar technology, you will work in a dynamic and challenging environment, and closely collaborate with System Architecture, Embedded Software, Algorithm, and Hardware teams, for defining, integration and validation of Radar’s operational behavior and system-level flows. What will your job look like: • Own and run the Functional Regression cycles (nightly/weekly), from SW/HW drop till full status report. • Execute and analyze Integration Test Plans. • Develop, debug and maintain Python tests for multi projects running in parallel. • Run and maintain CI/CD pipelines (GitLab CI, Jenkins, or equivalent) on Linux and Windows. • Work hand in hand with Software and Algorithm teams over regression and integration finds or requests. • Triage cycle results with smart bug/test verdict classifications using AI/SQL/Cloud based analysis tools. • Lab Hands-On: Build, integrate and maintain regression and integration test environments – Both SW and HW. All you need is: • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent. • 3+ years hands-on experience in firmware and test validation and integration • Python coding skills. Experience with PyTest or a similar Python test framework - advantage • Practical CI/CD execution life cycle experience for multi-Product environment. • Regression Infrastructure experience: Git, GitLab, JIRA and Confluence. • Hands-on Linux and Windows. • Advanced logging and test analysis debug skills. • Ability to work in Agile and highly dynamic development mode. Nice to have: • Experience with Network stack: IPv4, UDP/TCP, Wireshark Debug. • Experience with Automotive or ADAS validation, especially radar or other sensors. • Experience with Firmware RT Debugging. • Experience with AI coding tools (Cursor, GitHub Copilot, Claude). 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’re looking for an execution manager to help AI Engineering deliver complex, cross-team initiatives and improve how AI development happens across the organization. You’ll work closely with engineers, product managers, and partner teams to turn priorities into clear plans, remove blockers, and ensure our products are adopted and delivering value. You’ll also support the group’s broader planning, communication, and management activities. What will your job look like: • Plan and coordinate execution across teams for complex projects, with a focus on AI development. • Drive adoption of a modern ML development lifecycle built by the AI Engineering group. • Define and implement success metrics for AI Engineering products, especially measures of integration, onboarding, and team adoption. • Engage with product users, customers, and partners to understand needs, shape roadmaps, and drive execution with cross-functional teams. • Work closely with group engineers and product managers to align priorities, plans, and delivery. • Monitor progress against group goals, identify risks, and help teams stay focused on outcomes. • Identify and help resolve technical and organizational blockers. • Support group-level planning, communication, and management activities. • Build a culture of focus, accountability, and high-quality execution across a talented, experienced, and opinionated team. All you need is: • Experience leading execution across multiple teams on complex technical or product initiatives. • Strong understanding of AI and ML development workflows, platforms, or products. • A track record of turning strategy and roadmaps into clear plans, measurable outcomes, and delivered results. • Experience defining success metrics and using them to guide product adoption and improvement. • Strong communication and stakeholder-management skills, including the ability to work effectively with technical teams, leaders, customers, and partners. • Sound judgment and prioritization skills, with the ability to create focus in a fast-moving environment. • The confidence to engage with technical challenges, surface blockers, and work with engineers to move toward resolution. 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!

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!

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. We develop the software architecture system and tools to enable state-of-the-art algorithms to run efficiently in vehicles – contributing to saving lives and enabling autonomous vehicles. Within the Compute Software group, we are responsible for all Mobileye features above the operating system. This entails creating a diverse range of tools, libraries, and different work environments. What will your job look like: • You will lead and develop various development tools, technologies and SW infrastructures for Mobileye platform including simulators, data analysis, debugging tools and performance optimization tools. • You will get a deep understanding of Mobileye's HW architecture as well as end-to-end use cases and CV\DL algorithms. • You will work on different environments in the Mobileye's software stack including backend, middleware and frontend development. • You will consistently work and interact with multiple departments in Mobileye. • You will have a great chance to influence future generations of Mobileye hardware and software stacks. All you need is: • BSC/ MSc in Computer Science, Computer Engineering or related field. • 3+ years of experience in C/C++ programming. • Experience working in python- advantage . • Experience developing in Linux operating system - must. Nice to have: • Knowledge of low-level programming languages and hardware programming aspects. • Good understanding of computer architecture, and performance tuning/optimizations. 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 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!