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Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep learning research engineer to join our Algorithms group. What will you do?
* Be a researcher of the core deep learning algorithms and communicate with other researchers.
* Design and implement advanced algorithms to solve complex problems.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

we are seeking a highly skilled and experienced Senior Chemistry Researcher to join our innovative team. This role involves leading advanced research projects, developing new formulations, and optimizing processes to enhance our product offerings. The ideal candidate will possess a deep understanding of chemistry and materials science, along with a proven track record of success in a research environment. . This role requires a strong background in conducting independent research, publishing findings, and leading projects aimed at developing new materials and enhancing existing processes

Duties and Responsibilities:
Lead and manage complex research projects focused on the development of new formulations and chemical processes.
Design and conduct experiments to test hypotheses and analyze results.
Collaborate with cross-functional teams to integrate research findings into new product development.
Prepare detailed technical reports, research papers, and presentations to communicate findings to stakeholders.
Mentor and guide junior researchers, providing technical expertise and support.
Stay current with industry trends, advancements, and regulatory requirements to ensure the company remains at the forefront of the field.
Contribute to the development of patents and intellectual property protection for novel discoveries.

The position of an experimental physicist includes hands-on involvement in the development of our first-generation industrial machine. An experimental physicist is expected to be an experienced physicist who brings deep physical understanding, wide technological knowledge, enthusiasm, and commitment to the development process, working in tight collaboration with other development disciplines.
Duties and Responsibilities:
Gaining knowledge and understanding of the machine's inner workings and driving physical principles, attaining a holistic view of the casting process and the machine.
Detecting, characterizing, understanding, and solving unpredicted challenges.
Devising and implementing novel solutions.
Designing, performing, and analyzing on-tool experiments.

we are seeking a highly skilled Chemical/Polymer/Materials Engineer to join our dynamic team. The ideal candidate will be responsible for developing and improving materials and processes to enhance the performance and durability of our products. This is an exciting opportunity to work on cutting-edge projects in a an innovative environment.

Responsibilities:
Optimize Formulations and Processes: Improve product performance through new formulations and processes.
Conduct Research and Experiments: Test the properties and performance of materials to support development and innovation.
Collaborate Across Teams: Work with cross-functional teams to ensure material compatibility and integration.
Data Analysis and Reporting: Analyze data and provide detailed reports with findings and recommendations.
Material Testing and Quality Control: Manage material testing and ensure quality control procedures are followed.
Stay Current in the Field: Keep updated with the latest advancements in materials science and engineering.

The Ceramic QC Lab role is responsible for operating a quality assurance lab based on existing testing systems and developing new testing methodologies. This role requires learning and applying QC testing methods, working independently to solve ceramic-related problems, maintaining attention to detail, and finding methodologies for conducting various tests.

Responsibilities:
Conduct QA Tests on Raw Materials: Perform QA tests on incoming raw materials and during their storage period, especially for materials with long storage times.
Monitor Ceramic Quality: Conduct QC tests to monitor ceramic quality throughout preparation, mixing, and printing stages.
Data Reporting: Input results to engineers at workstations and maintain direct communication to ensure consistency between measurement results and observed results in the field.
Improve Testing Methodologies: Continuously learn and enhance testing methods to refine results, ensuring up-to-date status analysis that matches results from different workstations.
Develop and Operate Monitoring Systems: Establish and operate a monitoring system for ceramic quality, accounting for calendar, process changes, equipment changes, and quality correlations between raw materials and batch variations.
Receive guidance from the Chemistry and Process teams to support QC methods.
Create Efficient QC Systems: Develop additional methods for an efficient QC system that provides an up-to-date quality status for ceramics, enabling troubleshooting without halting the process or workstations (e.g., material correction, refreshing, and adjusting working conditions to align material quality with the process).

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Required Senior Algorithm Engineer
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Required Deep Learning Algorithm Developer - ADAS group
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Nuvoton Israel is a leading supplier of SoCs, microcontrollers and security hardware solutions for tier-1 customers in the computing and server business. A self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. Our products combine unique sets control, management, and advanced security solutions, enabling our customers to establish differentiation in their end markets. We are looking for a Chip Design Verification engineer to join our Verification team! This is your opportunity to have an impact on the design of millions of computers sold worldwide each year by leading brands.
The role includes: - Building complex verification environments - Meeting the challenges presented by state-of-the-art design - Continues professional growth using the most advanced tools and methodologies - Use AI for improved productivity

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.