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We are seeking a senior communication systems engineer to help develop the next generation of algorithms and standards that power this revolution.

Responsibilities
Research, analyze, and develop advanced wireless communication technologies and algorithms for Ambient IoT devices, including wireless modulation, coding, and channel estimation.
Draft, present, and contribute technical proposals to standardization bodies such as IEEE, 3GPP, and Bluetooth.
As part of the Technologies team, work on strategic solutions and collaborate with engineering groups including system-on-chip, RF, system, and network to ensure cohesive product development.
Continuously learn and explore new topics as needed to support the evolving solution, including communication layers, modeling, security, and location.

our companys Search team is at the heart of how millions of users discover and connect with the right talent every day. Were looking for an Algorithm Engineer who combines strong software engineering skills with a deep understanding of search and ranking algorithms.
Youll design, implement, and optimize search logic, signals, and ranking systems that power our companys core discovery experience.
What am I going to do?
Develop and optimize the core retrieval systems that form the backbone of our search architecture, focusing on enhancing the recall and precision of search results.
Utilize technologies like Elasticsearch, Lucene, Vespa, and machine learning models to build scalable search retrieval systems solutions that form the primary source for our search platform.
Work closely with data scientists, product managers, and fellow engineers to integrate machine learning models and algorithms.
Use search evaluation metrics, and user behavior analysis to pinpoint improvements, and conduct rigorous A/B testing and online experiments to validate changes and assess their impact.
Address complex business challenges related to retrieval by breaking them down into manageable components, conducting in-depth research, and pioneering innovative features for search retrieval.

This is a meaningful and security-oriented role contributing to homeland defense, located at the companys headquarters in Or Yehuda.

Role Description:
Develop and implement data fusion algorithms from various sensors (Track-level / Sensor-level Fusion).
Process sensor data, including noise filtering and time synchronization.
Apply and enhance advanced filters such as the Kalman filter.
Build and evaluate statistical models for different sensors across various coordinate systems (WGS-84, UTM, ECEF, etc.).
Develop error bias calculation algorithms for active and passive sensors (radars, SIGINT).
Integrate and implement algorithms in Real-time / Near Real-time systems.
Participate in lab and field experiments, conduct performance analysis, and produce reports.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team! Which department will you join? The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems. The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience. The group is comprised of top-notch developers and researchers and is headed by world-class scientists. This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team! Which department will you join? The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems. The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience. The group is comprised of top-notch developers and researchers and is headed by world-class scientists. This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

Which department will you join? The AV sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. ** This role requires working at our Ramat Gan offices at least 1 day per week.
What will your job look like:
Develop algorithms for processing and validating 3D sensor data
Build and maintain geometric libraries and tools for spatial data processing
Combine classic programming with algorithm development in Python
Work on problems involving 3D geometry, coordinate systems, and sensor calibration
Take ownership of algorithmic challenges from research to production implementation
Collaborate with other teams to integrate solutions into the broader system
All you need is:
Master's degree in CS, Mathematics, Physics, or Engineering (exceptional Bachelor's with strong industry experience will be considered)
Strong foundation in algorithms and data structures - comfortable implementing and analyzing classic algorithms
Experience in Python development with NumPy/SciPy and understanding of algorithmic complexity
Mathematical maturity to work with 3D geometry, linear algebra, and coordinate transformations
Proven ability to solve complex algorithmic problems independently.

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
What will your job look like?
Work on developing and optimizing control algorithms for the vehicle
Run and analyze simulations to test autonomous vehicle in virtual environments
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers
Working with communication protocols and interfaces for both internal and external communications with different components of the system
Customer facing workshops to discuss and test your algorithms.
Testing your algorithms in an Autonomous vehicle.

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.

Join our innovative team at our company, where you will play a pivotal role in developing advanced deep neural networks essential for our key products. You will join a collaborative team dedicated to developing real-time vision models that power the vehicle's understanding of its environment, combining research with hands-on product development. As part of our team, you will be responsible for the full cycle of deep learning R&D, modeling new solutions and enhancing the performance of existing ones, ensuring our solutions meet the needs of our company's autonomous vehicle technologies, advanced driver-assistance systems and external customers. This position offers the opportunity to be part of a fast-paced and forward-thinking environment, for those who are equally comfortable exploring new techniques and refining existing models to production-grade quality.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision
Conduct goal-oriented research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms to improve performance and scalability
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.

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.

Requied Deep Learning Algorithm Developer - ADAS group
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.

Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.

In this role, youll:

Research and develop next-gen code analysis and remediation algorithms.
Work hands-on with GenAI models and integrate them into detection workflows.
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis).
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.

What You'll Do:
Design and implement machine learning and algorithmic solutions for code analysis.
Build GenAI-powered developer tools for static and semantic code analysis.
Enhance our existing detection infrastructure with intelligent, context-aware insights.
Translate cutting-edge research into practical, scalable product features.

Our Algorithm Research & Development team operates at the cutting edge of Cyber over RF (CRF) a unique and multidisciplinary field that blends signal processing, RF experimentation, physics-based modelling, and cyber research.

We work end-to-end: from early-stage research and concept development, through algorithm design and simulation, all the way to lab prototypes and real-world field testing. Its hands-on, intellectually demanding, and incredibly rewarding.

Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities
* Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
* Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

We are looking for a skilled Algorithm and Robotics Engineer to develop and implement advanced computer vision, slam and AI algorithms for autonomous robotic systems. The role involves hands-on work in deep learning, image-based training, and cloud-based development. Key Responsibilities Develop and optimize algorithms in:
* Computer vision and AI-based perception
* Image processing and training deep learning models on large-scale datasets
* Slam, Localization, Mapping and motion planning
* Implement Real-Time software solutions in Python and C ++ on Linux platforms.
* Use AWS for data processing, model training, and deployment pipelines.
* Collaborate with hardware and software teams to integrate algorithms into Embedded or robotic systems.
* Conduct data analysis, model validation, and performance optimization.