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The company's Platform Product Management team is looking for a highly driven, experienced, and dynamic Cybersecurity Product Manager, to join our team and help shape the future of ADAS and Autonomous Driving systems. The team is leading Platform Products and Features Requirements and Execution, E2E, across all our company's teams and across projects. In this role, you will be involved in defining the product roadmap, and the product release planning, tracking the execution and helping in removing blockers, work with customers outside and inside our company, to ensure the TTM and quality are met.
What will your job look like?
Serve as a Technical solution architect/product manager for ADAS and Autonomous Vehicle SW features and platforms
Work closely with the Autonomous vehicle Cybersecurity architects and ensure Cybersecurity is addressed through implementation, Validation to production
Be a key person in planning and execution of Cybersecurity activities
Work directly with our company customers' Cybersecurity teams on their Cybersecurity requirements and deliverables
Generate and maintain accurate and up-to-date requirement documentation for both internal and external stakeholders.
Lead and facilitate product and platforms cybersecurity related discussions with clients and technology managers.
Actively help improving processes across different teams.

our company's Algorithm Team is seeking a highly Technical data engineer to drive algorithmic data intelligence, to characterize and accelerate development processes & validation standards for complex insights from our autonomous data ecosystem. As part of the Algorithm Team, you will be responsible for understanding the deep technical needs of our algorithmic systems, translating complex data patterns into actionable insights, and building validation methods that enhance our autonomous driving capabilities. This role focuses on algorithmic data requirements analysis, complex pattern recognition, and creating intelligent data solutions that directly impact our core algorithms. The ideal candidate is a technical problem-solver with strong algorithmic thinking, a creative approach to data challenges, and the ability to dive deep into complex technical systems to extract meaningful insights.
What will your job look like:
Serve as Data expert for "brain" group of our company- the part of the software responsible for the vision, fusion, and algorithm development.
Map the data needs of the different algorithmic and functional testing teams.
Define and execute validations methods across various data flows- e.g- signals, meta data, data labels.
Contribute to delivering high-quality data products that enhance our companys autonomous driving capabilities.
Next-Generation Data Innovation - envision and develop the next generation of content and insights that can be derived from our company's big data ecosystem.

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 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.

The Cloud team of the Development Infrastructure (DI) department is responsible for our company's Cloud infrastructure on AWS and Google Cloud. We develop mainly in Python, and some Golang. We are developing highly efficient systems for the company, running on up to 700K CPUs, processing hundreds of Petabytes of data monthly collected from all the over the world. We also provide networking, security, governance, support and guidance for all of our company's diverse uses of AWS across tens of AWS accounts, including AWS China. 
What will your job look like?
Take part in the design, development, deployment, and maintenance of our company's main cloud systems: Backend and python packages
Hyper-scale batch processing framework, spinning up hundreds of thousands of parallel computation CPU
Ssystems to ingest, store and manage data from cameras and other sensors, of exceptional volumes - 100 PB and more
Collaborate with different groups in our company, including Algorithms, Software and Validation
Deliver a high quality product, fully developed by our team Work with highly experienced developers, architects and AWS experts.
Work tightly with AWS teams, bringing their services to the edge - S3, EC2, Spot, EBS, ECS, Batch, DynamoDB, CW
Build systems and tools using AWS Lambda, RDS, CloudFormation/Terraform and moreSee your product being used by hundreds of users, where every improvement, optimization and new feature can be critical to the development of autonomous vehicles and car safety systems.

Join our company's Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. This role may offer a flexible work arrangement with 2 days in Tel Aviv/Ramat Gan and 2 days in Jerusalem.
What will your job look like?
Development of the AV Applications (add new features, improve the design, literature review as needed, etc.)
Maintenance of the AV Applications (address bugs and issues for internal and external customers)
Development and automation of the surrounding tools.

we are looking for a Embedded SW Engineer for Performance Modeling. You will be part of EyeQ SoC Performance Modeling and Profiling team in EyeQ Platform Group (EPG), working on current and next-generation designs for ADAS/AV. Performance models and profiling tools are fundamental parts of the EPG infrastructure, they are used during EyeQ HW architecture definition phase and by SW developers for performance optimizations.
What will your job look like:
You will work on CPU functional and timing models of our company's SoC platforms.
You will work on developing tracing and profiling tools for CPU performance analysis and optimizations.
You will run HW benchmarks to test HW performance and calibrate the simulation performance with the silicon board.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/OS/Algorithms developers.

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.

The company's EyeC VLSI team designs cutting-edge chips for RADAR systems used in ADAS and autonomous vehicles and is looking for an experienced DFT Engineer. This is a unique opportunity to join a team of top-tier engineers working with the most advanced technologies to develop Autonomous Vehicle (AV) SoCs. Every engineer in our team plays a broad and diverse role, taking on significant responsibilities, being involved in critical development stages, and making a direct impact on the success of our projects.
What will your job look like:
You'll be responsible for the architecture of DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more)
Develop all the necessary RTL for the different modules
Verify and Validate your design in GLS
Develop ATPG patterns to the highest requirements of Functional Safety (ISO26262).
Debug and analyze coverage and yield loss
Support production activities and Si debug.

The System SW Group is looking for an excellent experienced Embedded developer to join a team of talented engineers on cutting-edge technologies towards the next revolution of autonomous vehicles & driving assistant products. You will take part of designing, implementing and integrating features to the high-end AV systems.
What will your job look like?
Develop software as an integral part of the platform features SW team
Develop in C++
Designing, developing and integrating software features on the highest quality level for the new generation of autonomous driving platforms including multiple chip platforms.

As an Information Systems developer and implementer, you'll be an integral part of the Integration team and you will design, develop, implement, and support integrations based on users' requirements.We are looking for a strong developer with hands on experience to build integrations, currently using the iConduct platform as our main integration tool. And serve as a professional lead in driving the units adoption of new integration systems. We are looking for a strong developer with hands on experience to build integrations, currently using the iConduct platform as our main integration tool. And serve as a professional lead in driving the units adoption of new integration systems.
What your job will look like?
Build integration architecture for all information systems and execute them.
A hands-on developer creating on going integrations, scripts and automation with the growing our company ecosystem.
Collaborate with teams across the organization to gather requirements to improve their day-to-day work.
Creating and maintaining automated post-procedure tools to maintain our company's business efficiency while improving existing processes.
Maintaining the integrity and smooth functioning of the company's integration architecture.

our company's Autonomous Driving software group in JLM 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 our company'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 company's EyeC VLSI team - a group designing the chips for RADAR systems for ADAS and autonomous cars. Our Physical Design group is working in a Startup like environment with respect to technical expertise, execution & responsibility . 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 Experienced Physical Design Engineer to join the growing Physical Design Team, responsible for developing our next generation Imagining Radar SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner from RTL to GDS with horizontal ownership.
Floorplan exploration and collaboration with front-end and architecture teams.
Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification.
Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA.
STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff.

our company's 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 company's 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.