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Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for our customers around the globe and as our Validation Engineer you will be interacting with most of our departments, to achieve our goals.
What will your job look like:
Testing and evaluating the systems performance in both hardware and software aspects.
Writing test plans according to system's requirements, to ensure high quality products.
Executing Manual tests as well as built-in automated test sets.
Installing our debug systems and sensors on development vehicles internally and providing support to automotive customers.

A world leader in driver assistant systems and autonomous vehicles, is looking for silicon validation Tech Lead engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

Required Senior Computer Vision - Algorithm Engineer
The Surround-Perception group is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.

We are looking for a Senior 3D Applications Software Engineer to join our Autonomous Vehicle Simulation & Mapping Tools team at the Jerusalem campus.
Were seeking an experienced engineer with a solid background in real-time 3D applications. Youll be part of a strong, multidisciplinary team of developers, designers, and validators building high-quality, high-impact tools that are used across, and beyond, to shape the future of autonomous vehicle technology.
What your job will look like:
Develop, maintain, and extend 3D mapping, driving simulation, and visualization systems used by autonomous vehicle mapping, driving, control, validation and demonstration teams
Collaborate with engineers, designers, QA testers, and product managers to define requirements, design solutions, and deliver high-quality, user-centric solutions
Engage directly with users to understand their workflows, gather feedback, and continuously improve the tools
Adapt to new challenges and contribute to other Studio projects as needed
See your work have a significant impact across and help shape the development of autonomous driving technologies.

A world leader in driver assistant systems and autonomous vehicles, is looking for talented silicon validation engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like:
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

We are offering you to take a vital role in our research team that is responsible for constantly driving forward our ability to detect accessibility issues, enhancing the intelligence of our platform to provide customers with insights and usability enhancements that allow them to work more efficiently, and building innovative new products

To achieve those ends the team employs classic algorithms, data analysis, machine learning and generative AI.

You will be joining a team of highly professional and innovative engineers and scientists that are driven by passion for the domain and the mission of the company. We value scientific and engineering excellence, are committed to creating high impact products that reach our customers and work in collaboration with each other in an egoless environment.

Your Impact:

Research, design and implement new detection algorithms for web accessibility issues and improve existing ones.
Ensure all research is well documented and reproducible.
Build and enhance tools that enable data collection, labeling and analysis at scale for research purposes.
Integrate new models and algorithms into existing products.
Build interfaces for projects in the POC phase to enable demonstration and the collection of feedback from internal users and select design partners.

Required Experienced Deep Learning Algorithm Developer
You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our 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.

Required Experienced Algorithm Validation Engineer for Harvesting
You will be part of our REM department. Our 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

Our 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 self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of our 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:
Mathematical modeling and abstraction of real-life problems.
Research, design and develop innovative algorithmic solutions.
Code design, implementation, and hands-on 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 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.

We are looking for an Algorithm Developer who is excited by the challenge of solving real-world problems and delivering solutions using both algorithmic and software design capabilities.
This is your opportunity to help us advance our technology and push the boundaries of what's possible in autonomous driving!
What will your job look like:
The role combines algorithm development with hands-on software implementation.
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.

Required Power Integrity \ Signal Integrity Engineer
You will join a team of talented and experienced Signal/Power Integrity (SI/PI) & Electrical Validation engineers with wide scope of responsibility, from Pre-Silicon SI/PI simulations to Post-Silicon Electrical validation and debugging, covering all High-Speed interfaces and Power Delivery of our EyeQ ASIC products.
What will your job look like:
You will deal with design, simulations, optimization and debugging of high-speed interfaces - like LPDDR4/5, PCIe Gen4/5, C/DPHY, Multi Giga-Bit Ethernet, High-Speed interfaces over Power Cables, Power Delivery Networks.
You will develop Layout guidelines, review the physical design process and check its quality.
You will deal with state-of-the-art signal & power integrity simulation tools and methodologies, advanced results analysis, optimization/verification of the company and customers' PCB designs, etc.
This is a dynamic work environment that requires interfacing with Silicon & Hardware design engineers, IP providers, Electrical and System Validation teams, Customer Application Engineers, EDA tools vendors, and product managers.
The proximity to Electrical Validation activities - we are a single SI/EV team - is another strong advantage, enabling joint simulation-measurements efforts.

We are seeking for System Validation Engineer to help define, shape, and integrate solutions for the next generation of our cloud platforms.

Take part in the development of products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities:
- Design, implement and execute test plans and test cases.
- Develop and maintain automated test frameworks.
- Identify, document, and track software and system defects.
- Continuously review and improve quality assurance processes.
- Collaborate with development teams to ensure product quality.
- Hands-on debugging at lab.