Computer Vision Engineer jobs in Israel

Description Regulus is an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth. If you're looking for a role that combines deep technology, ownership, and real-world impact - this is your opportunity. You'll work on 0→1 development of next-generation computer vision capabilities, addressing operational challenges for which no proven solutions currently exist. Key Responsibilities: • Drive end-to-end computer vision solutions from concept and research through deployment and operational validation • Develop detection, classification, and tracking algorithms • Improve performance on small and distant aerial targets • Build and maintain training datasets and evaluation tools • Optimize models for real-time operational performance • Collaborate with software, hardware, and systems engineering teams Requirements • Strong background (3+ years experience) in computer vision and deep learning • Proven ability to independently design, develop, and deliver computer vision solutions from scratch • Experience processing real-time video from EO/IR, thermal, or surveillance cameras • Hands-on experience with detection and tracking models (YOLO, Transformer, or similar) • Proficiency in Python with PyTorch or TensorFlow • Proficiency in C++ • Performance Optimization: Experienced in multi-threaded programming and GPU acceleration to improve computational efficiency • Familiarity with small-object and long-range detection, image enhancement, and low-SNR conditions • Working knowledge of OpenCV, GStreamer, RTSP streams, and Linux Advantages: • Significant advantage for experience with airborne platforms, UAVs, UAS, loitering munitions, missile systems, aerial target tracking, or other airborne defense applications • Experience in drone detection, defense systems, radar/EO sensor fusion, or autonomous systems • C++ and production deployment experience

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. Our Algorithms group is a highly multidisciplinary group at the core of our data processing and detection capabilities, integrating physics, signal processing, computer vision, classical algorithms, and AI models to meet our unique requirements. Within this group, the Computer Vision Team analyzes above-ground environments from visual and multi-sensor data, and its outputs feed directly into the accuracy and completeness of the maps we deliver. Job description As a Computer Vision Engineer at Exodigo, you will work on problems where imagery meets the physical world. Our systems observe real above-ground environments and have to produce results that are accurate in real-world coordinates — which means the work lives in the transition between 2D imagery and 3D space: reconstruction, localization, depth, registration, and geometric reasoning about what the sensors actually saw. The core of the role is solid computer vision engineering. Detection, segmentation, tracking, and the unglamorous work of making these tasks accurate and robust on messy real-world data are the backbone of what we build. Our stack is modern and constantly evolving — we adopt new methods as the field produces them, and we care more about whether something works on our data than about how new it is. The loop here is short — what you build reaches our mapping experts and makes an impact! Key Responsibilities • Own the development of vision algorithms end to end — from framing the problem using real data, through model design and iteration, to results that meet our accuracy requirements in production. • Develop computer vision algorithms that turn imagery and multi-sensor data into a reliable interpretation of real environments — the scene understanding that our mapping outputs depend on. • Work on the 2D-to-3D problem: geometric reasoning, reconstruction, localization, depth, and registration of visual data to real-world coordinates. • Rapidly prototype, benchmark, and refine models against our own data and accuracy requirements. • Work closely with our Mapping and Engineering experts to validate real-world robustness, and with the Software team to turn prototypes into production-grade systems. Requirements • 4+ years of industry experience developing computer vision and machine learning algorithms. Academic research experience counts in addition to this, not instead of it. • Strong spatial intuition and hands-on experience with the transition between 2D and 3D. This is a core requirement — we expect you to have worked on problems such as navigation, mapping, 3D reconstruction, photogrammetry, localization, depth estimation, or something similar in spirit. • Solid experience with core computer vision tasks such as detection, segmentation, tracking, or registration, including the practical work of making them accurate and robust on real, imperfect data. • Strong understanding of modern deep learning architectures, including transformer-based and multimodal models — how they are built and where each one fits, even if your own hands-on experience has been elsewhere. • Strong proficiency in Python and the standard scientific and computer vision stack: NumPy, SciPy, OpenCV, and PyTorch. • B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a similar field. Preferred Qualifications • M.Sc. or Ph.D. in a relevant field. • Experience solving problems that combine text and imagery, such as document analysis. • Experience with point-cloud analysis or LiDAR data. • Experience in aerial, orthophoto, or satellite image analysis, or in geolocation problems. • Familiarity with cloud development environments, particularly AWS.

Position Summary Samsung Research IL is seeking for a skilled and innovative Senior Engineer – DL & 3D CV, to lead the development of next-generation computer vision, deep learning, and generative AI features. This role focuses on state-of-the-art solutions for advanced 3D machine vision and camera innovation, including 3d reconstruction/sensing/mapping, novel camera/image processing/enhancement and simulations. The engineer will join Samsung’s newly formed Camera Innovation R&D Team. Our screening process: 2 -3 professional peer interviews Hiring Manager Interview HR Interview Reference check Managing Director Interview Why Join Us? • Opportunity to shape a newly structured research and innovation team. • Opportunity to explore DL/3D CV/GenAI SOTA models and workflows • Opportunities to publish research, generate IP, and influence long-term technology direction. Role and Responsibilities • Prototype/research/develop advanced DL/3D CV/GenAI algorithms for various use-cases such as camera imaging, robotics and simulation • Manage the full lifecycle of DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions. • Optimize models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints • Guide the adoption of emerging technologies to elevate Samsung’s new solutions. • Stay at the forefront of developments in deep learning/computer vision/GenAI • Contribute to technology roadmaps and R&D investment decisions Skills and Qualifications • MSc/PhD in Physics/EE - must • 8+ years of experience in DL/3D CV, with a proven track record of developing solutions from research to production - must • Proven in-depth experience with at least one of the following: * Diffusion-based GenAI * Embodied AI * DL-based CV/Image processing (e.g., segmentation, image restoration, monocular depth estimation) * Vision-Language Models * Physics Informed Neural-Networks (PINN) • Strong programming skills in Python, PyTorch, and OpenCV • Strong applied software engineering skills, with experience in agile methodologies and quality-driven development. • Strong problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions. • Experience with rapid AI-first R&D • Advantage : experience with theoretical physical modeling/ simulation • Advantage: Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization. • Advantage: Extensive hands-on experience in developing and deploying DL-based software applications for camera systems, image processing, or video analysis. • Advantage: Experience with simulators (Gazebo, Isaac Sim, Unity) and real-world testing. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in Computer Science, Electrical Engineering, or a related field. • At least 2 years of industry experience developing deep learning–based computer vision algorithms. • Strong Python programming skills and hands-on experience with PyTorch. • Solid understanding of deep learning and computer vision. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Optical Metrology Division products are used for optical overlay metrology. The portfolio of products includes unique solution packages which are based on hardware and software systems to enhance yield and effectiveness. As a world leader in its field of expertise, the division's products are the most advanced in performance (measurement accuracy of nanometers and below), reliability, ease of use and compatibility with other KLA's products. KLA (Israel) controls over 80% of the world market sales in its field, and its products are used by every major semiconductor manufacturer around the world. KLA Israel is located in the Migdal Haemek Industrial Park. Job Description/Preferred Qualifications Join us as an Algorithm Developer for AI-Powered Computer Vision! Are you passionate about cutting-edge AI and computer vision? Do you thrive in a creative, fast-paced environment where innovation drives impact? We’re looking for a talented Algorithm Developer to join our R&D team and help shape the future of Optical Metrology for Semiconductor Devices. What You’ll Do: • Lead the research and development of advanced algorithms for next-gen optical metrology systems. • Tackle complex, real-world challenges in a multi-disciplinary, collaborative environment. • Work closely with top-tier experts in AI, optics, and semiconductor technologies. • Drive the full algorithm lifecycle: from concept and feasibility to implementation and on-tool integration. • Analyze diverse data sets and apply sound judgment to develop innovative solutions. • Why Join Us? • Be part of a visionary team  pushing the boundaries of AI and optics. • Enjoy a creative and supportive work culture that values innovation. • Make a real impact in a high-tech, high-growth industry. Minimum Qualifications • MSc or PhD in Electrical Engineering, Computer Science, or Physics. • 3+ years of hands-on experience in AI and image processing. • Strong skills in Python for algorithm development. • Ability and motivation to grow into a leadership role. • Background in optical systems or microscopy – a big plus! • Experience in the semiconductor industry – an advantage. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description We are looking for Senior Computer Vision / ML Engineer, you will develop and implement computer vision and machine learning algorithms that operate on large-scale real-world video data. The role combines algorithm development and software engineering, with approximately equal focus on building high-performing models and turning them into robust, production-quality solutions. You will work independently, take ownership of your tasks and outcomes, and collaborate closely with other R&D teams to integrate your algorithms into FarmSee's production systems. What You'll Do: • Develop and implement computer vision and deep learning algorithms for detection, segmentation, tracking, and re-identification. • Research, prototype, evaluate, and improve machine learning approaches using real-world datasets. • Develop high-quality Python code for both algorithmic development and production environments. • Design experiments, evaluate model performance, analyze failures, and continuously improve algorithm accuracy and robustness. • Define and support data collection and annotation processes required for model development and validation. • Optimize models and inference pipelines for performance and scalability. • Collaborate with backend, infrastructure, QA, and other R&D teams to integrate algorithms into production systems. • Use modern AI-assisted development tools such as Codex, Claude Code, Cursor, or equivalent as an integral part of day-to-day development, debugging, testing, and code improvement. • Stay current with relevant developments in computer vision, deep learning, and AI-assisted software development. Requirements Requirements: • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field. • At least 5 years of hands-on professional experience in Computer Vision, Machine Learning, and Deep Learning. • Strong practical experience with image segmentation, multi-object tracking, and visual re-identification (metric learning), as well as ML for tabular data. • Strong understanding of classical image processing and computer vision techniques. • Strong Python programming skills. • Strong experience with PyTorch or other major deep learning frameworks. • Solid understanding of batching, caching, numerical precision, and memory optimization for model deployment. • Ability to write clean, maintainable, production-quality Python code. • Strong understanding of object-oriented programming, software design principles, design patterns, testing, and software development best practices. • Proven ability to work independently with minimal supervision and take full ownership of assigned tasks and outcomes. • Practical experience using modern AI coding tools such as Codex, Claude Code, Cursor, or equivalent. • Strong analytical and problem-solving skills. • Good communication and collaboration skills. Advantage: • Experience optimizing deep learning models for inference. • Experience with TensorRT. • Experience with NVIDIA Triton Inference Server. • Experience profiling and optimizing GPU-based workloads.