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the operating system team is looking for a highly talented Embedded sw integration engineer with a passion for operating systems and Linux in specific.
the team is developing the boot and operating system sw for autonomous vehicle and smart advanced driver assist platforms. what will your job look like?
hands-on debugging and testing of os and related components (boot, hw initialization, device drivers, Linux Kernel, user space libraries and tools & automated tests in Python ).
deep understanding of the involved os/boot components and their integration with other sw/hw modules involving testing automation and system level validation.
closely work with members of the boot and os development teams to integrate, TEST and automate new features, components and systems.
release & feature management in a multi-project and multi-disciplinary environment while managing ci systems for testing coverage.

we are looking for a software integration team lead to join our av group and lead sw deployment and integration for next-generation av platforms. what will your job look like?
lead a team of software integrators responsible for deployment & integration of dedicated sw & hw toward av validation campaigns.
serve as the focal point for platform sw technical challenges in the areas of Embedded sw, Linux, logging platforms, and hw/sw integration toward validation.
drive technical direction, task prioritization, execution planning, and delivery of integration milestones.
collaborate closely with internal & external engineering and validation teams to resolve complex multidisciplinary technical issues, while mentoring and developing team members.
act as an integral part of the platform development leadership in a dynamic, solution-oriented environment.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (adas). our cutting-edge solutions, including the eyeq chip, mobileye supervision, mobileye drive, and mobileye chauffeur, leverage computer vision and Machine Learning to enhance vehicle safety and enable self-driving capabilities. integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
in our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of autonomous driving features and advanced driver assistance systems. what will your job look like:
research, design, develop, and implement lidar based algorithms in both Python and C ++ for solving complex problems
evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
collaborate with cross-functional teams to understand requirements and develop solutions
optimize existing algorithms to improve performance and scalability

We are at the forefront of developing autonomous driving systems with leading oems, by integrating our state-of-the-art ecus into various vehicles. we are seeking a Embedded systems software architect to own the technical direction of our Embedded software platforms. this role combines hands-on development, system architecture, and technical leadership, guiding a team of Embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products. you will act as the technical authority for Embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
what will your job look like?
lead the technical direction and architecture of Embedded software platforms across middleware and application layers.
serve as the technical authority for Embedded software, combining hands-on C / C ++ development with system -level ownership.
design scalable, modular software architectures and define clear interfaces between hardware, os services, middleware, and application software.
drive key technical decisions, architectural trade-offs, and long-term roadmap.
develop and integrate middleware and application-layer components, including multi-threaded and Real-Time logic.
lead design reviews, mentor Embedded software engineers, and promote high coding and architectural standards.
take ownership of complex system -level debugging, performance optimization, and software quality.
work closely with os, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

we are seeking a skilled failure analysis (fa) engineer with expertise in x-ray inspection techniques to join our av platform team. the ideal candidate will specialize in using advanced x-ray imaging and other analysis methods to investigate product failures, identify root causes, and provide actionable insights to improve product quality and reliability what will your job look like?
perform detailed failure analysis using x-ray imaging systems and related diagnostic tools to inspect electronic components, assemblies, and materials.
interpret and analyze x-ray images to detect structural anomalies, defects, voids, cracks, delamination, and other failure mechanisms.
develop and optimize x-ray inspection procedures and protocols for failure analysis and quality control.
prepare TEST specimens: cutting, mounting, grinding, polishing and chemical etching
collaborate with product engineering, Quality Assurance, and manufacturing teams to support product development, troubleshooting, and continuous improvement efforts.
prepare detailed technical reports documenting findings, root cause analyses, and recommended corrective actions.
support reliability testing and failure mode analysis for new and existing products.

we are a multidisciplinary development team working on a cutting-edge autonomous driving project, at the forefront of automotive technology. the team develops complex ecus that combine multiple socs, low-level firmware, hardware, validation, and automation systems, enabling next-generation autonomous capabilities. we work closely with hardware, system, verification, and automation groups to bring up, debug, and validate advanced automotive platforms from early development stages through production. this is a highly technical, hands-on environment focused on solving real system -level challenges.
what will your job look like:
debug complex hw/fw and system -level issues in an autonomous vehicle platform
perform deep root-cause analysis across firmware, hardware, and automation systems
lead firmware bring-up, integration, and debug of ecus with multiple socs
debug and support automation systems, including lab automation and fw verification environments
analyze failures originating from automated TEST systems and distinguish between fw, hw, and TEST infrastructure issues
work closely with hw, system, validation, automation, and architecture teams
support issues from early development stages through production and field failures
contribute to firmware debug methodologies and verification strategies
provide technical leadership and mentoring when needed.

We are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
our group is located in haifa and is responsible for enabling the deep learning and computer vision algorithms on the platform. the technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles. this is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the ai domain.
what will your job look like?
shape our product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our hardware and software
develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as tensorflow and pytorch and converts them into code suitable for execution on custom-built our hardware
use state-of-the-art open-source technologies such as mlir and work closely with the open-source community
develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ml models onto our state-of-the-art systems
develop a toolchain that will provide a quantum leap in deep learning capabilities and performance.

our autonomous driving software group in haifa is looking for a Linux Kernel Developer who will be responsible for developing Embedded sw products.
this is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies. what will your job look like?
researching, designing, and implementing new sw drivers and operating system features, as well as, maintaining, and enhancing existing ones.
you will also be responsible for integrating the sw solutions in mobileye's Embedded automotive platforms including the necessary hw bring-up, debug and unit testing to achieve proper operation of the new sw and hw together.

Our autonomous driving software group in looking for an experienced Linux Kernel & security Developer to design and implement secure Embedded software solutions. this is an exciting opportunity to work with highly talented engineers and contribute to cutting-edge security innovations in automotive technologies
what will your job look like?
you will research, design, and implement Linux Kernel drivers and os features, ensuring compliance with security best practices.
maintain and enhance existing Kernel components while mitigating potential vulnerabilities.
integrate Embedded software solutions in our automotive platforms, including hw bring-up, debugging, and unit testing.
conduct threat modeling, penetration testing, and vulnerability assessments for Linux -based Embedded systems.
optimize memory management, i/o, networking, and Storage security within the Linux Kernel.