לוח משרות דרושים פיתוח אלגוריתמים

Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

Algorithm team lead We are looking for an experienced Algorithm team lead to drive the development of advanced computer vision and 3D algorithms, from concept through deployment on edge systems.

A defense high-tech company, is hiring an Algorithm Developer to join our Data Fusion Team!
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.

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

We are global leader in autonomous vehicle (av) technology. if youre an experienced deep learning Developer driven by a passion to shape the future of mobility, join us to make av a reality. the 3d perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. our end-to-end temporal network fuses multi-view cameras into a unified 3d sensing state that powers planning.
what will your job look like?
develop, implement and optimize state-of-the-art transformer-based temporal vision models
extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding
work shoulder-to-shoulder in a large, collaborative group
research and integrate the latest advancements in 3d detection and perception
improve algorithmic performance through rigorous experimentation and innovation
work with large-scale datasets
research new advances in the field from the literature and industry.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++. at our company, algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers at we contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++.
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, senior deep learning algorithm developers work at the forefront of av/adas innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. this includes working with large-scale datasets, leveraging frameworks like pytorch or tensorflow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. at our company, senior deep learning algorithm developers contribute across multiple ai domains, with most opportunities in computer vision and additional roles in areas such as NLP /llms and 3d perception (radar, lidar, fusion). this role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact. what will your job look like?
design, develop and implement deep learning algorithms to solve complex problems in computer vision
take ownership of deep learning projects: compose product requirements, design solutions, oversee execution, and collaborate with talented algorithm developers.
collaborate with cross-functional teams to understand requirements and develop solutions.
analyze large datasets to improve algorithm performance and robustness.
research the latest advancements in deep learning, multi-task learning, ai architectures, and apply them to enhance our algorithms

our imaging radar department develops high-performance 4d imaging radar systems for autonomously driving vehicles. the phy algo group is leading the innovative research and the development of the entire algo processing pipeline starting from the iq samples and up to object detection. the group is responsible for the entire radar simulation, including novel waveform design, transceivers, environment, and the radar signal processing pipeline. the group is also leading the phy architecture and developing ai based signal processing. what will your job look like?
research, develop and implement signal processing algorithms.
solve applied radar processing problems.
develop radar and environment simulations for verification of algorithm pipes at the system level.
develop ai based algorithms for radar signal processing. including developing the training and testing environments for these algorithms.
analyze field recorded data and confirm system performance through simulations.

our 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 self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. the group is primarily focused on the decision-making module of our 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.

we are seeking an algorithm team lead to guide a team of highly skilled algorithm developers. you will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide. this role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution. you will lead the teams end-to-end work in 3d computer vision, multi-sensor reasoning, and slam-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. the position involves close collaboration with product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions. what will your job look like:
lead a team of 7 algorithm developers, providing both technical and personal guidance.
manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
drive algorithmic research and development in the areas of 3d reconstruction, slam, optimization, calibration, and ego-motion estimation.
oversee the full lifecycle - from concept and research to deployment in production systems.
maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

Our 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 self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. the group is primarily focused on the decision-making module of our 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.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (adas). our cutting-edge solutions, including the eyeq chip, mobileye supervision, mobileye drive, and mobileye chauffeur, leverage computer vision and Machine Learning to enhance vehicle safety and enable self-driving capabilities. integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
in our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of autonomous driving features and advanced driver assistance systems. what will your job look like:
research, design, develop, and implement lidar based algorithms in both Python and C ++ for solving complex problems
evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
collaborate with cross-functional teams to understand requirements and develop solutions
optimize existing algorithms to improve performance and scalability

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation - designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++.  algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers  contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions

join our rem (road experience management) department - the team driving the automatic creation of high-definition maps, a cornerstone technology behind our autonomous driving and advanced driver-assistance systems. rem map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise. you will be part of our priority semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
the team uses cutting-edge technologies, including graph neural networks (gnns) and data -driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
this role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
what will your job look like?
design, train, and evaluate cutting-edge deep learning models on rem proprietary map data
perform high-scale, large-volume data analysis
integrate new map-based algorithms with full ownership
develop tools that enable fast and effective data introspection
optimize models and results where needed.