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Required IC Package Layout Engineer
About the team:
We develop purpose-built hardware and AI technologies that power advanced driver-assistance and autonomous-driving solutions. Our EyeQ SoCs and imaging radar technologies are designed to deliver scalable, automotive-grade performance and help enable safer mobility worldwide.
Join our advanced packaging team and take ownership of package-substrate layout for cutting-edge digital and RF products. You will collaborate with silicon, package, SI/PI, PCB, manufacturing, and OSAT teams to deliver high-quality, manufacturable package layouts that meet demanding automotive requirements
What will your job look like:
Own IC package-substrate layout from feasibility through manufacturing release.
Perform die placement, bump fan-out, ball-map planning, package-size estimation, and layer planning.
Set up stack-ups, padstacks, design rules, and layout constraints.
Implement high-density bump-to-ball routing for signal, power, and ground nets.
Route high-speed and RF interfaces according to defined SI/PI constraints.
Perform DRC, connectivity, LVS/netlist, and DFM checks.
Generate artwork, fabrication drawings, reports, and release documentation.
Resolve layout-related queries from substrate manufacturers and OSATs.

We are 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.

Required Experienced Deep Learning Algorithm Developer - Object Perception Group
About the team:
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.

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.

Our 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 our 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.

Required Embedded System Engineer - Camera Team
About the team:
We build 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.

Required Embedded Software Application Engineer
About the team:
Join our Embedded Software Application team to develop and maintain C++ applications that run on Ubuntu across our custom chips and x86 platforms. Youll work in a secure, multi-chip environment and help build reliable software through every stage of development.
What will your job look like?
Develop and maintain embedded applications in C++ on Ubuntu.
Design software for a secure, distributed, multi-chip environment.
Work across requirements, design, implementation, and testing using an ASPICE-aligned development process.
Use AI tools to support development and quality activities throughout the lifecycle.
Write and maintain automated tests and contribute to continuous integration.

Required Deep Learning Algorithm Engineer - REM Semantics
About the team:
You will be part of our REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges.
What will your job look like:
Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks.
Own projects end-to-end - from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment.
Analyze challenging edge cases and continuously improve model performance in complex driving scenarios.
Collaborate with algorithm developers, software engineers, product managers and system teams across the organization.
Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency.
Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide.

The 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 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, 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 our 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.

We are looking for an adaptable, proactive Software Engineer to join our Algorithm & Systems team. In this role, youll be a vital link between algorithm development, software architecture, and cross-functional engineering teams. Your primary mission will be to turn core algorithmic logic into robust software, integrate components across diverse platforms, and coordinate directly with adjacent teams to keep everything running smoothly.
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.

Required C++ Software Developer
About the team:
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.
The position is located in Jerusalem, with shuttles available from various locations across Israel.
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.

Required Backend Team Lead - REM Engineering
About the team:
As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for our 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).

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

We are 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 our 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.
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.
You will need to learn and develop new algorithms which can address new problems as they arise.