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our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team! Which department will you join? The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems. The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience. The group is comprised of top-notch developers and researchers and is headed by world-class scientists. This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

our companys ADAS (Advanced Driver Assistance Systems) Execution & Validation group is looking for a sharp, driven, and technically oriented manager to lead cross-functional validation initiatives aimed at discovering bugs earlier in the development lifecycle. This role is at the heart of our effort to enhance validation methodologies across our companys ADAS algorithmic technologies, integrating AI-driven systems, data pipelines, and operational workflows. As the ADAS Validation Manager, youll orchestrate multiple teams, under you direct management, help shape our validation strategy and drive alignment across the organization. You will be the central point of contact for validation activities across ADAS, working closely with algorithm developers, analysts, and product stakeholders. If you thrive on managing complexity, pushing for excellence, and turning high-level goals into execution - we want to meet you.
What will your job look like:
Manage multiple validation-related teams, consisting of 10 people, while managing timelines, deliverables, and execution for diverse goals and expertise.
Lead multiple activities and initiatives across ADAS, with a focus on early detection of system bugs (shift left mindset).
Collaborate with algorithm developers, operational experts, and validation analysts to drive scalable validation tools and methodologies.
Drive innovation in validation by introducing AI/LLM-based tools and cutting-edge technologies into operational workflows.
Help set a high standard of excellence for cross-functional validation practices within the ADAS domain.
Youll oversee validation efforts across tech teams, working hand-in-hand with local validation groups to align goals, share insights, and push validation earlier in the pipeline.

We're looking for a AI Research Scientist to join us
WHAT YOULL DO

Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

Which department will you join? You will be joining our company's SoC DDR team working on one of the most cutting-edge technologies - Autonomous Vehicle (AV). You will be taking part in developing validating the DDR interface of our current and future SoC family for ADAS and AV.
What will your job look like:
Validate the SoC DDR interface including the integration of advanced DDR controller and PHY.
Build unit level Verification of the DDR
Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.
Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Write and debug tests that combine UVM methodology and SW code.
Define, develop, and execute various complex validation scenarios on the DDR interface.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

We are looking for an exceptional Deep Learning Algorithm Developer to join a new and growing team under our company's Algorithms Group. This team is building an internal AI-powered tool aimed at improving product quality by detecting edge cases and long-tail events. Were combining state-of-the-art vision and language models to revolutionize how we test, validate, and stress our autonomous systems. If youre passionate about deep learning and engineering high-impact internal tools- this is the place for you.
What will your job look like:
You will research and develop deep learning algorithms leveraging both vision and language models to automate test case discovery, identify failure modes, and mining hard data.
Youll collaborate with cross-functional teams, including algorithm developers, validation engineers, and infrastructure teams, to integrate tools into real workflows and ensure continuous improvement of our systems.
Youll have the opportunity to shape this role and the direction of the project with your initiativeany innovative approach that drives quality is encouraged.

our companys Autonomous Driving group in Haifa is looking for an Electrical Validation & Embedded SW Engineer. This is an exciting opportunity to join a growing team of highly talented engineers, working on the worlds most advanced SoCs for ADAS and self-driving vehicles. In our company, Electrical Validation engineers enable, debug, and validate high-speed interfaces - like LPDDR4/5, PCIe Gen4/5, and CDPHY - using high-end Lab measurement equipment and advanced SW tools. This dynamic work environment requires interfacing with Silicon and hardware design engineers, Software developers, Signal Integrity, and System Validation teams. The proximity to Signal/Power integrity simulation activities - we are a single SI/EV team - is another powerful advantage, enabling joint simulation-measurement effort.
What will your job look like:
You will join a relatively small team of talented and experienced EV/SI/PI engineers with wide scope of responsibility, from Pre-Si SI/PI simulations to Post-Si Electrical validation and debug, covering all the high-speed analog interfaces of our companys EyeQ products.
Responsibilities include performing electrical spec compliance and system margin validation, interface optimization, statistical results analysis, validation flow definitions, and automation, etc.
You will also deal with FW development, automation enabling, data post-processing and debug of high-speed interfaces, like LPDDR4/5, PCIe Gen4/5, and D/C/MPHY.

we are seeking talented Algorithm Developers for a range of positions focused on shaping the future of autonomous driving and advanced driver-assistance systems. You will develop and optimize cutting-edge computer vision and mapping algorithms that help vehicles perceive their surroundings, detect drivable lanes, and create high-definition maps from large-scale, crowd-sourced data. This work requires creativity, strong algorithmic thinking, and software engineering skills to deliver real-time solutions on dedicated hardware. Join us in making roads safer and driving smarter for everyone.
What will your job look like:
The role combines algorithm development with hands-on software implementation.
The algorithmic development is done in Python and C++, and tasks often require solid foundations in mathematics and geometry.
We work with image-based data and focus on extracting and representing spatial information accurately and efficiently.
You will take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.

You will be part of our company's REM department. our companys Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services. Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work. Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our companys key products. We are recruiting for several teams, offering you the opportunity to work on vision-related tasks such as segmentation, object detection, classification, regression, as well as 2D and 3D vision technologies. In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions, enhancing the performance of existing ones, and participating in innovative, cross-organizational initiatives. This position offers the opportunity to be part of a fast-paced, forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).
What will your job look like:
Design, develop, and implement deep learning algorithms to solve complex problems in computer vision.
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

Which team will you join? our company EyeC VLSI team - a group designing the chips for Radar systems for ADAS and autonomous cars. The group is responsible for all disciplines of VLSI 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.
What will your job look like:
You will take a central hands-on role in Design Verification.
Define Environment micro-Architect, Implement complex UVM environment, Build vPlan .
Execute coverage implementation.
Be part of external IP verification and Internal custom IP.
Be part of System definition and top-level activity.
Take part in Silicon bring-up.

Which department will you join? our companys Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of our companys future AI and deep learning HW accelerators. This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver our companys EyeQ future chips, aimed to power the worlds first fully Autonomous Vehicle!
What will your job look like?
Define, implement and enhance verification environments using UVM methodology.
Write and debug tests that combine UVM methodology and SW code.
Identify and write various types of coverage measures.
Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.

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.

The Radar VLSI team at our company EyeC is looking for an experienced Formal Verification Engineer to join us! This is a newly established team with a mission to integrate Formal Verification as a key methodology in Radar projects. Be part of a cutting-edge group designing chips for radar systems in ADAS and autonomous vehicles, where your expertise will have a significant impact.
What will your job look like:
You will verify unique and complex design blocks.
Help determine the Formal strategy and methodology for the team.
Explore new Formal methods and tools.

our company's EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments. This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems. This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects\designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf.