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Required Experienced Deep Learning Software Engineer - Algorithms & Data
About the team:
Our team develops models for road perception. We turn multi-sensor inputs (vision, maps, and more) into models that understand road geometry and behavior. We work at the intersection of algorithms, DL models, infrastructure, and data engineering.
what will your job look like?
Own road data pipelines end to end: tools for datasets and databases, running across S3 and on-prem
Design algorithms on large-scale vision and multi-sensor data (maps, sporadic inputs), including geometric reasoning from 2D image space to 3D world space for perception and world modeling
Implement and develop algorithms for the AV production system
Build evaluation tools, algorithms, metrics, and related infrastructures.

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.

Required Experienced Deep Learning Algorithm Developer
About the team:
The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

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.
Please note that this position requires 2 days a week at our HQ in Jerusalem.
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.

Required Deep Learning Algorithm Engineer | Learned-Policy Group
About the team:
Build the intelligence behind the next driving decision.
Were developing learning-based driving policies for complex, real-world
scenarios. Were looking for an engineer who can turn model ideas into reliable
algorithms that run as part of our driving systems.
Youll work across model development, training, evaluation, and integration.
Youll analyze model behavior, improve the data and training process, and work
with other teams to validate performance in simulation and on real vehicles.
This is a high-impact role with direct influence on a core part of our
driving technology and its future products.
What will your job look like?
Develop and improve deep learning models for planning, decision making, and driving behavior.
Work across the full development cycle, from research papers and
prototyping models to building data and evaluation tools, debugging
infrastructure, and supporting deployment.
Design training and evaluation workflows, including metrics for safety,
progress, comfort, interaction quality, and robustness.
Analyze model behavior and failure modes, run experiments, and use the results to improve models and data.
Collaborate with control, simulation, data, and other algorithm
teams to integrate and validate new capabilities.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency.

Required Algorithm Team Lead - Geometric Data Infrastructure
About the team:
The AV Sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. Our team develops scalable infrastructure and algorithmic solutions for processing, validating, and understanding complex 3D sensor data.
What will your job look like:
Lead and mentor a team of ~5 Algo and Software Developers while remaining hands-on and closely involved in technical and algorithmic challenges.
Design and build scalable Python libraries, data workflows, validation and monitoring systems for spatial data.
Develop algorithms and geometric tools for 3D data processing, sensor calibration, coordinate transformations, and spatial relationships.
Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation.
Take ownership of complex algorithmic challenges from research through production, while collaborating with cross-functional teams to integrate solutions into the broader system.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

Required Algorithm Developer - Object Modeling Group
About the team:
The Object Modeling group is responsible for delivering real-world 3D object perception for autonomous driving and advanced driver-assistance systems.
In this role, you will solve real-world perception challenges in our core projects, using the companys innovative technologies across a wide range of sensors, including Computer Vision, LiDAR, Radar, and Imaging Radar.
You will combine classic programming with advanced algorithm development in C++ and Python, taking responsibility for both maintaining existing products and developing new features. As an Algorithm Developer, you will continuously learn and design new algorithms to address emerging problems and evolving challenges.
Work in our Algorithms department is dynamic and hands-on, covering the full lifecycle - from early-stage research and experimentation to bringing robust, high-impact solutions into production - while collaborating closely with other teams across.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Your job will include a combination of classic programming and algorithm development
You will develop in both C++ and Python
You will need to both maintain the product and develop new features
Finally, you will need to learn and develop new algorithms which can address new problems as they arise.

Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

The Product Validation department is looking for a Validation Engineer.
Our department is responsible for delivering high-quality ADAS (Advanced Driver Assistance Systems) products.
We are the first line of support for our customers around the globe, and as our Validation Engineer, you will interact with most of our departments to achieve our goals.
What will your job look like:
Perform system-level validation of embedded systems, covering both hardware and software, with a strong focus on functional testing
Design and maintain test environments, including lab setups, test systems, and configurations.
Write and execute test plans and test cases based on system requirements, including manual and automated tests.
Validate communication protocols and system interfaces, and perform hardware bring-up and integration testing.
Install and support debug systems and sensors on development vehicles and assist automotive customers during integration.

Product Validation department is looking for a Validation Engineer Team Lead.
Our department is responsible for delivering high-quality ADAS (Advanced Driver Assistance Systems) products. We are responsible for integration and validation of our products on customer systems. And as our Validation Engineer Team Lead you will be interacting with most of our departments, to achieve our goals.
What will your job look like?
Lead and guide a team of system validation engineers.
Work closely with the different Project managers to drive and ensure proper validation plan
Work closely with R&D teams across In order to establish a proper test plan and to achieve fast Root-Cause of issues that arise during the system testing phase
Test and evaluate the system functionality & performance in both hardware and software aspects.
Drive test development and integration methods, to ensure high-quality products.
Executing Manual tests as well as built-in automated test sets (Hands-on).

We are looking for an Electro-Optical Engineer to join the development team and lead hands-on research, characterization, testing, and integration of advanced electro-optical technologies into complex multidisciplinary systems.
The role combines practical lab work, system-level design, execution, and technological innovation. Role includes leading design and implementation of sensors, lenses, cameras, thermal systems, optical measurement, image quality, sensor accuracy, and integration with broader platform technologies.
As part of the LYNX team, the engineer will support component-level and system-level design, experimentation, integration, supplier technical discussions, test planning, documentation, and collaboration with mechanical, electronics, software, system engineering, and validation teams.
Responsibilities:
Characterize, evaluate, and integrate electro-optical components suh as sensors, lenses, cameras, compasses, thermal imaging modules, and related optical subsystems.
Plan, develop, and execute component-level and system-level experiments, including optical bench testing, optical measurements, and system integration activities.
Define and implement optical test methodologies for image quality, sensor accuracy, optical performance, environmental behavior, and system-level functionality.
Support the integration of new technologies into existing LYNX systems and future developments, including interfaces with IMU, GPS, laser range finders, compass modules, and additional platform sensors.
Work with suppliers and subcontractors on requirements definition, design reviews, performance evaluation, technical trade-offs, and issue resolution.
Write technical specifications, test plans, experiment reports, analysis summaries, and supporting engineering documentation and transfer to production processes.
Support system integration, troubleshooting, verification, validation, and field-testing activities.
Collaborate closely with multidisciplinary teams, including mechanics, electronics, software, system engineering, QA, and operations.

We are looking for a Computational Biologist to focus on Computational antibody design, playing a central role in the design and optimization of our therapeutics antibodies, while also conducting multi-omics analysis tasks within the group.

Responsibilities :

You will: Work closely with our computational biologists multidisciplinary team and with the Antibody discovery functional unit
Drive computational antibody design, applying state-of-the-art computational and AI models to design and optimize multispecific therapeutics antibodies
Translate engineering concepts into experimentally validated candidates
Act as a scientific liaison with external CROs on antibody design and optimization projects as needed
Explore new methods that expand our computational antibody design capabilities, including making effective use of AI/ML-based tools
Conduct end-to-end broader computational analyses including multi-omics datasets for target analysis, as needed
Communicate scientific results and design rationale clearly to internal and external audiences