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3 ימים
Location: Merkaz
Job Type: Full Time
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 are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

Advantages:

* Experience working in multidisciplinary environments.
* Hands on experience with Python and Bash development.
* Familiarity with TensorRT framework.
* Familiarity with Git, Jira.
* Familiarity with OpenCV.
* Familiarity with CUDA and NVIDIA platforms.
Requirements:
* Bachelor’s degree in a relevant technical discipline.
* At least 4 years experience in managing a software team- Must
* At least 5 years' experience modern C++ (11 or newer).
* Proven experience in image, Computer Vision, Deep learning & Neural Networks.
* Background with multithreaded programming.
* Mathematics and algorithms oriented.
* Excellent teamwork and human relations.
* Independent, self-motivated, and fast learner.
This position is open to all candidates.
 
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דרושים בקרול יועצים
Location: Petah Tikva and Rosh Haayin
Job Type: Full Time
A cutting-edge deep-tech company developing advanced AI, imaging, and intelligent vision solutions is looking for an experienced Computer Vision Algorithms Engineer to play a key role in the design and development of next-generation vision technologies.

This is a senior hands-on position with significant technical ownership, working on challenging real-world problems and transforming innovative research into scalable production solutions.

Responsibilities:

Design, develop, and optimize advanced Computer Vision and AI algorithms
Lead the development of core vision capabilities from concept through deployment
Conduct research, prototyping, validation, and performance optimization
Requirements:
7+ years of experience developing Computer Vision algorithms and AI-based systems
Proven track record delivering production-grade Computer Vision solutions
Strong experience with Deep Learning architectures for vision applications
Hands-on experience with PyTorch and/or TensorFlow
Excellent Python programming skills
Strong understanding of image processing, computer vision fundamentals, calibration, geometry, and optimization techniques
Experience taking algorithms from research stages to real-world deployment
Ability to work independently while providing technical leadership and mentorship
This position is open to all candidates.
 
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02/06/2026
Location: Ra'anana
Job Type: Full Time
We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group.

In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools.

The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.
Requirements:
Requirements:
Bachelors degree in a relevant technical discipline.
At least 4 years experience in managing a software team- Must
At least 5 years' experience modern C++ (11 or newer).
Proven experience in image, Computer Vision, Deep learning & Neural Networks.
Background with multithreaded programming.
Mathematics and algorithms oriented.
Excellent teamwork and human relations.
Independent, self-motivated, and fast learner.

Advantages:
Experience working in multidisciplinary environments.
Hands on experience with Python and Bash development.
Familiarity with TensorRT framework.
Familiarity with Git, Jira.
Familiarity with OpenCV.
Familiarity with CUDA and NVIDIA platforms.
This position is open to all candidates.
 
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02/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly motivated and experienced Senior Computer Vision Engineer to join the team developing our perception, localization, and autonomy software stack.

You will own the development, integration, and optimization of features such as Visual-Inertial Odometry, Tracking, Object and Motion Detection, Image preprocessing and stabilization, and data link/streaming solutions.

You will lead the design, development, integration, and optimization of core perception and vision capabilities, including Visual-Inertial Odometry, Tracking, Object and Motion Detection, Image Preprocessing and Stabilization, and real-time video streaming solutions.

Responsibilities:
Contribute to the architecture, design, and implementation of Vision software modules.
Lead the development of complex features from concept through production.
Collaborate with mission control, systems, infra, and flight teams to ensure robust integration.
Translate cutting-edge research and POCs into reliable, production-grade software.
Ensure performance, robustness, and real-time operation under constrained conditions.
Mentor engineers and drive engineering best practices across the Vision team.
Requirements:
Requirements:
B.Sc./M.Sc. in Computer Science, Software Engineering, Electrical Engineering or related field.
6+ years of professional software development experience.
Strong understanding and experience in software architecture and design for real-time and edge computing applications.
Strong proficiency in modern C++ and Python development.
Strong understanding of computer vision, robotics, and state estimation principles.
Experience implementing algorithms from research papers and adapting them for production environments.
Excellent problem-solving and communication skills.
Ability to lead technical initiatives and mentor other engineers.

Advantages:
Experience with Visual-Inertial Odometry (VIO), Tracking, ATR, SLAM, ISP.
Experience with ROS 2-based distributed robotic systems.
Experience with OpenCV, CUDA, TensorRT, and deployment on edge computing platforms.
Experience optimizing algorithms for real-time performance on edge computing platforms such as NVIDIA Jetson.
Background in UAVs / Robotics / Autonomous Systems at the defense, safety-critical or aerospace industry.
Familiarity with software quality practices including testing, debugging, profiling, CI/CD, and code reviews.
This position is open to all candidates.
 
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18/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector.
With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of UVeyes inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
* Design and Development of novel, robust and efficient Machine Learning / Deep Learning algorithms for major Vision challenges.
* Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
* Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data -centric AI methodologies (active learning, data curation).
* Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for Real-Time inference constraints (on Edge/Cloud devices).
Requirements:
* 4+ years of industry experience in the development, optimization, and deployment of Deep Learning Algorithms in production environments.
* Hands-on industry experience working on major Vision problems in fields such as Detection, Classification, and Segmentation (experience with 3D Perception, Anomaly Detection, or Multi-View Geometry is a major advantage).
* Deep theoretical understanding of modern neural network architectures (e.g., CNNs, Vision Transformers - ViTs, Diffusion, or Generative AI for Vision)
* Experience with Python - Must, C / C ++ - An advantage.
* Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
* Experience working with Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR/Image Registration -An advantage.
* Comfortable in unexplored territory, independent and self-motivated.
* M.Sc./Ph.D. in Computer Science, Electrical Engineering, data Science, or a related field - A strong advantage.

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, Machine Learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
Play a part in shaping the future of human communication technology. Contribute to a unique multidisciplinary system that models and understands human interaction, redefining what's possible with computer vision, physics, and signal processing at the edge.

In this role, you'll be at the forefront of a one-of-a-kind technical challenge, developing and implementing novel methods for processing and enhancing a proprietary sensor that models human communication. You'll work hands-on with exclusive data: designing the algorithms that process it, and defining the metrics that evaluate and drive its continuous improvement.

Your insights will carry real weight, directly informing sensor decisions and shaping the architecture of the broader system. You'll lead multi-level research efforts to advance a truly unique sensor, drawing on a rich and diverse technical toolkit spanning signal processing, computer vision, physics, and state-of-the-art deep learning. You'll own proprietary data collections using high-end computer vision techniques, studying signals from their raw-level behavior all the way through to their top-level impact on product performance.

This is a role that lives at the intersection of deep research and real-world impact. You'll conduct cutting-edge investigations and translate your findings directly into product outcomes, influencing decisions across the full stack, from hardware choices and algorithmic pipelines to the features that reach the final product.

Responsibilities
Develop and implement novel algorithms for modeling and understanding human communication, combining 2D/3D computer vision, signal processing, and deep learning.
Work with unique proprietary datasets - design large-scale data processing pipelines, define quality metrics, and provide actionable feedback to improve data collection and labeling workflows.
Devise and implement rigorous evaluation frameworks to measure model and data quality, and drive continuous improvement across the system.
Design neural network architectures optimized for SOTA accuracy and computational efficiency.
Stay current with the latest research across computer vision, signal processing, and efficient ML; evaluate and integrate relevant advances into the team's work.
Contribute to internal tooling and best practices for reproducible, scalable ML research and deployment.
Requirements:
Minimum Qualifications
M.Sc. in Computer Science, Electrical Engineering, or a related field, with a thesis in AI, computer vision, data science, or an equivalent discipline.
At least 3 years of hands-on experience in machine learning.
At least 3 years of hands-on experience in image processing and computer vision.
Strong foundation in deep learning theory and practical experience training large-scale models.
Proficiency in Python and deep learning frameworks such as PyTorch.
Background in signal processing and physics-based modeling.
Practical experience with large-scale data processing, pipeline design, and performance evaluation.
Experience utilizing modern frameworks and keeping up with recent research.

Preferred Qualifications
Knowledge and experience with 3D data (e.g., point clouds, depth sensing, 3D reconstruction).
Ph.D. in a relevant field.
Hands-on experience with model compression techniques (quantization, pruning, distillation).
Experience with MLOps workflows and CI/CD pipelines for model development.
This position is open to all candidates.
 
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31/05/2026
Location: Yagur
Job Type: Full Time
Smart Shooter is seeking a highly skilled Computer Vision & Image Processing Engineer to join our innovative team in developing cutting-edge technology solutions. In this role, you will design, develop, and implement cutting-edge image processing and computer vision algorithms. You will work on complex, real-world visual tasks, taking algorithms from theoretical concepts to production-grade deployment on cutting-edge systems.
?About Smart Shooter Smart Shooter is a world-class designer, developer, and manufacturer of innovative Fire Control Systems that significantly increase the accuracy and lethality of small arms. With a rich record in designing unique solutions for the warfighter, Smart-Shooter’s technology enhances mission effectiveness through the ability to accurately engage and eliminate ground, aerial, static or moving targets during day and night operations.
Key Responsibilities
* Research, design, and develop innovative computer vision and image processing algorithms.
* Implement and train Deep Learning models tailored for challenging visual tasks.
* Optimize algorithms and write scalable, clean, and efficient production code.
* Collaborate closely with hardware, software, and systems engineering teams to deliver end-to-end solutions.
Requirements:
Requirements Education & Experience: M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field—with a distinct specialization in Computer Vision or Pattern Recognition. At least 3 years of proven industry experience developing algorithms in the fields of Image Processing and Computer Vision. Technical Skills:
* In-depth knowledge and hands-on experience in classic Image Processing & Computer Vision methods.
* Strong familiarity with Deep Learning frameworks and solutions for complex visual tasks.
* Extensive, hands-on experience in C and C++ programming for large-scale applications.
Advantages (Nice to Have)
* Experience implementing and deploying algorithms on low-power, Real-Time (RT) Embedded systems.
* Practical knowledge and programming experience in Python
* Practical knowledge and experience in Matlab
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Job ID: 20153.
דרישות:
Qualifications & Skills:

3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

Experience designing and executing end-to-end solutions for deploying different ML models.

Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Deep understanding of machine learning algorithms, statistical models, and data structures.

Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

Excellent English communication skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team perf המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Ra'anana
Job Type: Full Time
In this role, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over our companys AI computing processors.
Responsibilities
Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.
Design and promote holistic software solutions incorporating various aspects of NPU handling: from network retraining, graph compiling and network inference execution on the embedded systems.
Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.
Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.
Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.
Represent our company with high technical credibility in customer meetings, appropriately incorporating feedback.
Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.
Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.
Engage with engineering leadership and product planning stakeholders to develop technology roadmap.
Requirements:
B.Sc in Engineering, Computer Science, or related technical field. MS or PhD highly desired.
5+ years of experience as SW Architect.
8+ years of experience as SW developer.
Proficiency in Python, C++.
Proven track record in Software Architecture development, maintenance and improvement over embedded processors in AI and vision domains.
Excellent communication skills, both verbally and in writing. Collaborative and influential across organizations.
Proven ability to advance initiatives effectively in ambiguous and dynamic environments.
Ability to work and operate in a highly dynamic environment.
Advantages:
Experience in implementing state-of-the-art neural networks, generative AI and LLMs embedded SW over SoCs /DSPs/NPUs.
Familiarity with AI frameworks such as optimum PyTorch, Tensor Flow, vLLM, SgLang and others.
Familiarity with graph compilers such as mlir, tvm, xla.
Familiarity with runtime frameworks such as ExecuTorch, MLIR iree, Onnx runtime.
Deep understanding of LLM and CNN quantization algorithms.
This position is open to all candidates.
 
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11/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly experienced Real-Time C++ Team Leader who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, leading a talented team while collaborating effectively with remote and on-site teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
The Real-Time C++ component is at the core of our Quantum Orchestration Platform - it serves as the driver for the Pulse Processing Unit (PPU), our proprietary VLSI-based engine. This component is responsible for preparing, loading, and launching the execution of quantum-computing workloads, operating at extreme performance levels to maximize hardware utilization and minimize software overhead.
Responsibilities
Lead and grow a team of real-time C++ engineers, fostering technical excellence, collaboration, and professional development.
Own the architecture and development of the real-time C++ layer that drives the Pulse Processing Unit (PPU), our company's proprietary VLSI-based processor.
Design and implement high-performance software for preparing, loading, and launching quantum-computing workloads with minimal latency and maximal hardware utilization.
Drive relentless optimization of the software stack to minimize SW overhead in the critical path, ensuring the hardware operates at peak throughput.
Collaborate closely with VLSI, compiler, and architecture teams to ensure seamless software-hardware integration across the quantum control stack.
Define and uphold engineering standards, code quality practices, and performance benchmarking methodologies for the team.
Contribute hands-on to the codebase - designing, reviewing, debugging, and profiling performance-critical code paths.
Participate in cross-team technical planning, roadmap definition, and alignment with product and customer needs.
Requirements:
At least 7 years of hands-on C++ development experience in performance-critical or real-time systems - Must.
At least 2 years of experience leading a software engineering team - Must.
BSc. in Computer Science, Electrical Engineering, or a relevant technical field (advanced degrees are an advantage) - Must.
Deep understanding of systems programming, memory management, concurrency, and low-level optimization techniques - Must.
Experience developing drivers or software interfacing with VLSI, hardware accelerators, or embedded processors - Advantage.
Experience with profiling, benchmarking, and performance tuning of latency-sensitive software - Must.
Experience working in a multidisciplinary environment alongside hardware, VLSI, and algorithm teams - Advantage.
This position is open to all candidates.
 
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19/05/2026
חברה חסויה
Location: Hod Hasharon
Job Type: Full Time
The Challenge Controp is a global leader in high-end EO/IR surveillance and defense solutions. As the AI team leader, you will bridge the gap between cutting-edge research and mission-critical hardware. You will lead an elite team of researchers and engineers to define the next generation of algorithmic capabilities for our stabilized payloads and autonomous systems.
Requirements:
Responsibilities Technical Leadership: Lead the research, design, and implementation of state-of-the-art Computer Vision and Deep Learning algorithms tailored for EO/IR sensors. End-to-End Ownership: Oversee the full algorithmic lifecycle-from theoretical feasibility and simulation to optimized implementation on Embedded edge devices. Strategic Roadmap: Collaborate with the Head of Analytics and EVP R&D to align AI initiatives with the companys technological roadmap and market needs. Mentorship & Excellence: Cultivate a culture of algorithmic rigor, ensuring high standards of coding, documentation, and academic-level research within the team. Cross-Functional Collaboration: Work closely with Hardware, Software, and Systems Engineering teams to integrate AI capabilities into complex multidisciplinary products.
Requirements Proven Leadership: At least 3 years of experience leading technical teams in defense-tech or multidisciplinary R&D environments. Domain Expertise: Minimum 5 years of hands-on experience in Computer Vision and Deep Learning (Detection, Tracking, Segmentation, etc.). Algorithmic Foundation: Deep understanding of Classical Image Processing and computer vision algorithms - a significant advantage. Embedded AI: Proven experience in implementing and optimizing algorithms for Edge Devices (NVIDIA Jetson, DSPs, FPGAs, or similar). Education: M.Sc. in Electrical Engineering, Computer Science, or Mathematics from a leading university. PhD - a significant advantage. Strategic Vision: Ability to translate complex operational needs into robust algorithmic solutions.
This position is open to all candidates.
 
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