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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 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 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.

Required R&D Clinical Imaging Engineer - Contractor
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.
Job Summary:
R&D Engineer - Clinical Imaging focused on TAVR-related processes, leading research and knowledge integration to support process implementation and algorithm development for cardiac CT analysis.
The role involves defining segmentation protocols, standardizing clinical data, and collaborating closely with clinical specialists and multidisciplinary teams, with a strong understanding of the clinical aspects of TAVR planning.
How you will make an impact:
Develop and own segmentation protocols for complex cardiac structures to ensure high-quality and reproducible data
Support the generation, preparation, and interpretation of cardiac CT data used across multiple project workstreams.
Develop Python-based tools for medical data processing, including DICOM handling and anonymization
Collaborate closely with physicians and Clinical Specialists to translate clinical needs into technical solutions
Act as a key integration point between physicians, Clinical Specialists, software developers, simulation engineers, and algorithm teams to ensure alignment and successful project execution
Drive cross-functional collaboration, proactively identify gaps and requirements, and ensure that clinical and technical needs are effectively translated into project deliverables.
Standardize ground truth definitions and anatomical annotations for use in algorithm and AI development
Evaluate and implement segmentation and analysis tools based on performance, usability, and scalability
Lead tasks end-to-end, from concept and investigation to implementation and delivery
Define algorithmic requirements for TAVR-related measurements, including centerline extraction, plane definition, and geometric calculations.

Required R&D V&V Engineer (Maternity Leave Replacement)
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.
This is a contract position for 8 months (Maternity Leave Replacement)
How you will make an impact:
You will have a leading role within a small team of expert engineers and technicians, working closely with global R&D and testing teams at our new state-of-the-art R&D center in Caesarea.
Design and execute bench tests as part of R&D projects: collect inputs, translate them to design specifications, design test systems, run tests, and validate the systems.
Lead, coordinate, and participate in cadaver and animal studies.
Perform research activities (review and search for clinical papers and publications).
Collaborate closely with QA on systems validation, test plans, test method validations, and study protocols and reports.
Maintain clear, structured, and traceable documentation of all test data, results, and records.
Interface with USA headquarters (travel 1-3 times a year; evening phone calls).
Organization and rigor are at the heart of this role. We work in a testing environment where the integrity and traceability of data is paramount.

We are seeking a highly creative, hands-on and technically strong R&D Engineer with 10-12 years of experience to lead the development of breakthrough concepts and emerging technologies for future minimally invasive therapies.
This role focuses on transforming ideas into viable product concepts and driving rapid learning cycles through prototyping, testing and multidisciplinary collaboration. The successful candidate will thrive in highly ambiguous environments and play a key role in shaping future product pipelines.
How you will make an impact:
Lead early-stage innovation activities, including concept generation, ideation, and feasibility assessment.
Develop and mature novel device concepts for minimally invasive therapies, including implants, delivery system and enabling technologies.
Design, build and test proof-of-concept prototypes, enabling rapid iteration and technical risk reduction.
Translate clinical needs into engineering solutions, integrating procedural and anatomical considerations into early designs.
Develop testing tools, benchtop models, and simulation platforms that replicate relevant anatomical and physiological conditions to evaluate device performance and procedural feasibility.
Plan and execute feasibility studies, bench testing, and design evaluations to validate technical concepts including pre-clinical studies.
Analyze test results, perform root-cause investigations, and drive design improvements based on engineering findings and clinical feedback
Drive design iterations based on testing results, failure analysis, and clinical feedback
Manage interfaces with global R&D teams, external partners, consultants and suppliers
Document technical findings, experimental results and engineering recommendations in a clear and structured manner.