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Required Deep Learning Algorithm Engineer - REM Semantics
You will be part of our REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges.
If you're talented, highly motivated and passionate about building intelligent systems where your contributions drive concrete, measurable outcomes, we'd love to meet you.
What will your job look like:
Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks
Own projects end-to-end - from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment
Analyze challenging edge cases and continuously improve model performance in complex driving scenarios
Collaborate with algorithm developers, software engineers, product managers and system teams across the organization
Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency
Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide

Required Backend Team Lead - REM Engineering
As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for our Road Experience Management (REM) platform. Your team is responsible for capturing, processing, and validating massive streams of crowdsourced data from millions of vehicles worldwide in real time.This is a hybrid leadership and technical role. You will lead a squad of engineers while remaining hands-on in architecting resilient, ultra-high-throughput distributed systems that power the future of autonomous driving and advanced mapping.
What will your job look like:
Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery.
Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency.
Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning.
Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs).

Required Algorithm Team Lead
Join our innovative team, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

We are seeking an algorithm developer to help improve our solution for continuously updating maps following road changes, contributing directly to technologies that improve road safety.
What will your job look like:
Design, develop, and optimize algorithms for updating large‑scale map creation systems.
Implement and maintain production‑level Python code within a complex, large codebase.
Analyze large datasets and build scalable solutions using scientific and big‑data tools.
Take algorithms from research and prototyping through production deployment.
Continuously research and develop new algorithmic approaches to address emerging challenges.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
You will need to learn and develop new algorithms which can address new problems as they arise.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
Learn and develop new algorithms which can address new problems as they arise.

We are seeking a geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety.
What will your job look like:
Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems.
Implement and maintain production‑level Python code within a complex, large codebase.
Analyze large datasets and build scalable solutions using scientific and big‑data tools.
Take algorithms from research and prototyping through production deployment.
Continuously research and develop new algorithmic approaches to address emerging challenges.
May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms.

We are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for our systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams.

Required IT Support (Contractor)
Innovation starts from the heart. Were dedicated to developing ground-breaking technologies with a genuine impact on patients lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.
How you will make an impact:
Provide on-site IT related Software and Hardware support to assist in the installation, integration and maintenance of computing devices.
Configure and manage customer workstation, portable computing devices and
peripherals (Following defined imaging and deployment processes)
Troubleshoot and repair hardware and/or Software for desktops, laptops, peripheral equipment and other IT related hardware (Tier 1/2)
Perform daily support (moves, adds, changes, etc.) for desktops, laptops,
peripheral equipment and other IT related hardware (ex. VOIP Phones, A/V support as applicable for your region, etc.)
Manage installation of desktops, laptops, peripheral equipment and other IT related hardware
Perform lifecycle upgrades and projects as directed
Manage priorities based on Service requests and incident tickets while regularly
updating tickets to reflect work performed
Training users in various situations, educating them regarding use of hardware, its software and related systems. Training would be brief, one-on-one, small group, ad-hoc and hands on "How-to" instructions
Coordinate activities with third party vendors as needed (Order fulfillment,
Warrantees, Project Needs, Vendor relations / feedback, and so forth)
Provide appropriate visibility of costs related to service requests and comply to approval requirements
Assist the business with tablet and mobile device support to meet operational / business needs
Manage port connections to provide point of use network availability; Assist in answering Help Desk Calls from Users on an as needed basis

Required Senior R&D System Application Engineer (12 Months Contract)
Innovation starts from the heart. We put patients first. We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
What will you do?
You will be part of an R&D team responsible for the development, integration, and validation of medical device systems. With a strong emphasis on hands-on development, data-driven engineering, with a problem-solving mindset. you will contribute to the full product development lifecycle - from the need, through signal processing and GUI development to system testing and clinical application. This role is designed for engineers who are passionate about building and refining medical device technologies in a multidisciplinary environment.
How youll make an impact:
Develop and improve medical device features within the portfolio as part of a multidisciplinary R&D team that includes mechanical, hardware, and software engineers. Main activities include - procedure development, algorithm development, GUI design and implementation, scripting, test automation, data acquisition, and data analysis and visualization.
Participate in the design and development of system-level features, supporting architecture decisions and translating clinical and functional requirements into working solutions.
Perform hands-on testing of medical device systems (implant systems, hardware, and software), including functional, integration, and exploratory testing to validate design performance and clinical readiness.
Lead test design efforts, including writing test cases, test procedures, and test reports. Collect, analyse, and summarize test data to support design decisions and issue investigations.
Execute and support test protocols in lab and simulated clinical environments. Accurately document results, observations, and issues to ensure traceability and compliance.
Collaborate with stakeholders and colleagues - including caregivers, R&D engineers, clinical specialists, marketing, and quality teams - to understand system behaviour, clinical workflows, and end-user needs, ensuring that developed solutions align with real-world application requirements.

We're looking for an experienced Full Stack Developer to join our applications team, reporting to the team lead. Our team is based in Tel Aviv. You'll be integrating external utilities and applications to our on-premise main solution as well as for our cloud solution. The ideal candidate is someone who has hands-on experience with development and infrastructure and is able to take on new challenges in new areas.

Add capabilities to our applications framework, which will allow better flexibility for application development.
Enhance our SDK so we can build custom applications more easily.
In addition, you will add new components to our UI system, create widgets for our custom dashboard, and work with our core teams for additional features.

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

We are looking for a hands-on, full-stack Embedded Software Engineer to join our core R&D team. In this role, you will be actively developing, debugging, and integrating software across different environments. writing C/C++ firmware for microcontrollers (MCUs) as well as C++ applications running in Embedded Linux User-Space. You will play a key role in building central robotic logic, communication bridges, and ensuring our autonomous platform operates reliably and on schedule. Key Responsibilities: Dual-Environment Development: Write, debug, and maintain software for both MCU firmware (bare-metal/RTOS) and Embedded Linux User-Space applications. Robotic Logic & Motion Control: Implement state machines, system logic, and behavioral execution of the robot. Communication Infrastructure: Design and implement reliable communication protocols connecting MCUs to the Linux host board. System Integration & Debugging: Perform end-to-end integration on physical target hardware using standard software diagnostics to isolate and resolve system-level issues.

Job Type: Full-time position.
Location: On-site - at our offices in Kfar Saba, Israel.
Position Overview: We are looking for a proactive and customer-oriented Technical Support Engineer (L1/L2) to join our team in Kfar Saba. This role combines hands-on customer support (Level 1 & 2) with technical troubleshooting and QA involvement.
You will be the main point of contact for customers in Europe and Israel, and also serve as a backup for the US support team, ensuring excellent service while contributing to product quality and continuous improvement.
You will play a key role in customer satisfaction and product quality, acting as the bridge between customers and our product. Your work will directly impact how customers experience us and how our platform continues to improve.

Responsibilities:
Customer Support & Communication.
Provide excellent support via email, chat, phone, and video calls.
Guide customers, demonstrate the system, and solve issues in real time.
Ensure a high-quality support experience and strong customer satisfaction
Technical Troubleshooting (L1/L2).
Investigate and resolve technical issues end-to-end.
Analyze logs, use internal tools, and perform basic database queries
Reproduce issues and document findings clearly.
QA & Product Involvement.
Take part in QA activities and collaborate with QA and development teams.
Validate fixes and support testing (regression, sanity checks).
Identify recurring issues and contribute to product improvements
Documentation & AI Tools.
Maintain and improve technical documentation and knowledge base.
Use AI tools to enhance support efficiency and workflows.