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We are looking for a Senior Chip Design Verification Engineer for developing the next generation DFT technologies.
As a Senior Chip Design Verification Engineer in the DFT team at our company, you will verify the design and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and complex products. Our DFT solutions are unique, innovative, and we are continuously looking for new and creative solutions to meet the challenging goals.
What you'll be doing:
In this position, you will be responsible for verification of the DFT design, architecture and micro-architecture using sophisticated verification methodologies.
As a member of our DFT verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), execute test/coverage plans, and verify the correctness of the design.
Collaborate with architects, designers, emulation, production testing and silicon verification teams to accomplish your tasks.

We are looking for a Senior Chip Design Engineer, Formal Verification for our company's Networking team!
This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking Switch and GPU technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies that are in the heart of the AI revolution. Our team delivers world class Chips solutions for HPC, AI infrastructures, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. our company has the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tape-outs. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.
What you'll be doing:
In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.
You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of our company's core technology.
You will take part in the AI revolution led by our company, working on cutting edge architecture.

we are a global leader in Autonomous Vehicle (AV) technology. If you're an experienced deep learning developer driven by a passion for shaping the future of mobility, join us in making AV a reality. Our Object Detection team develops deep learning solutions that power the core perception capabilities of AV and ADAS systems. By harnessing large-scale video datasets and advanced multi-task learning techniques, we build models that not only detect and track objects but also understand their behaviors and interactions in complex driving environments.
What will your job look like:
Solving visual tasks with neural networks: designing the solution, preparing the training-data, training and evaluating the performance, and finally integrating into the autonomous vehicle system.
Working with large-scale data and distributed processing.
Combination of classical programming and algorithm development.

we are looking for a skilled and driven Algorithm Team Lead to tackle real-world challenges using cutting-edge Computer Vision and Machine Learning techniques. Our work directly supports our companys mission to revolutionize autonomous driving and contribute to saving lives. Youll lead a fast-paced, hands-on team, contributing to the full development cyclefrom early research to deploying production-ready solutionswhile collaborating with teams across the organization.
What will your job look like:
Lead and mentor a team of algorithm developers focused on solving complex perception problems.
Drive the development and implementation of machine learning models for real-world automotive applications.
Focus on algorithmic development with a strong emphasis on Computer Vision and Image Processing.
Work with large-scale data to design, train, and evaluate deep learning models.
Program primarily in Python using modern tools and frameworks.
Research, prototype, and refine new ideas to address evolving perception challenges.

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 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.