לוח משרות דרושים בחיפה וסביבתה

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 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

join our rem (road experience management) department - the team driving the automatic creation of high-definition maps, a cornerstone technology behind our autonomous driving and advanced driver-assistance systems. rem map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise. you will be part of our priority semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
the team uses cutting-edge technologies, including graph neural networks (gnns) and data -driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
this role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
what will your job look like?
design, train, and evaluate cutting-edge deep learning models on rem proprietary map data
perform high-scale, large-volume data analysis
integrate new map-based algorithms with full ownership
develop tools that enable fast and effective data introspection
optimize models and results where 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.

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.

Our SOC verification group owns the important and challenging job of verifying mobileye's chip. it is involved from product specification to final SOC delivery, and involves all the system components. the group is made up of few of the best Verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
what will your job look like:
you'll be responsible for pre-silicon system -level verification of the most cutting-edge ai accelerators and technologies in the automotive field.
define the testplan, develop and run tests on simulation/emulation environments, develop TEST environment and verification collaterals.
you'll have a broad effect on our unique product from the very beginning of the process.

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.

which department will you join?
our hw team - a group designing the eyeq chips for adas and autonomous cars. the group is responsible for all disciplines of development, including but not limited to logic design, design verification, microarchitecture, analog and circuit design and layout, physical and structural design ( backend ), product and TEST engineering.
each physical design engineer has an end to end responsibility from definition, execution & full signoffs, working closely with design & architecture teams for constraints development, design review & rtl modifications to achieve converges were looking for a physical design engineer to join the growing physical design team, responsible for state of the art SOC design from definition to tape-out. what will your job look like:
hands-on physical design block owner from rtl to gds.
floorplan exploration with guidance and collaboration with Front-End and architecture teams.
sta: work with fe and floor planner to manage block and top level constraints and 1st level of timing analysis.
synthesis exploration and final synthesis netlist: scan insertion @ synthesis, clean checks from lint, upf & spyglass.
place & route: from synthesis netlist to final layout and signoff verification with target to achieve best power performance and area.

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.