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We are looking for an Expert Deep Learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment.

Required Experienced SoC Verification Engineer
Our SOC verification group owns the important and challenging job of verifying our chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

Requred Experienced Machine Learning Engineer
Our Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicles surroundings.
What will your job look like:
Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics
Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks
Innovate in multi-view fusion, motion handling, and spatial representation learning
Deliver models that run on real vehicles and integrate into production systems.

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 - Perception Solutions
Join our Perception Solutions team, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.
In this role, you will join at the beginning of an end-to-end development cycle, leveraging advanced approaches to enable direct vision modeling beyond traditional image-processing pipelines and help advance the next generation of autonomous driving technology.
What will your job look like:
Contribute to building a new deep learning project from scratch, with real impact on production systems.
Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
Develop and train state-of-the-art deep learning models for computer vision tasks.
Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
Tackle real-world challenges where model performance is critical and directly impacts product capabilities.

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.

We are shaping the future of autonomous driving, a mission that requires infrastructure operating at an unprecedented scale. We are seeking a Senior DevOps Engineer to join the team building and scaling our state-of-the-art Data Platform.
The autonomous vehicle lifecycle generates massive amounts of data, and your challenge will be to engineer the hybrid infrastructure (AWS and on-premises) that makes this data seamlessly accessible to DL/ML developers, validation engineers and analysts. You will leverage a top-notch tech stack - including Kubernetes, big data frameworks, and robust observability tools-to solve complex reliability and scalability challenges head-on.
What will your job look like?
Directly influence our platform's scalability to support growth and R&D efficiency across both cloud and on-premises environments.
Own infrastructure projects from research and architectural design to implementation and rollout.
Lead infrastructure improvements around high availability, resiliency, performance, and FinOps/cost efficiency.
Develop shared templates, libraries, and standards as infrastructure to empower developers and streamline CI/CD delivery.
Evaluate and implement new technologies that upgrade our hybrid infrastructure posture and observability.
Serve as a technical expert in infrastructure decisions, taking ownership, sharing knowledge, and driving engineering excellence across the team.

We are looking for a Deep Learning Tech Lead for Objects Modeling, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
This role requires working at our Jerusalem offices 1 day per week.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
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.

We're looking for a part time Office Manager to run the day to day operations of our Israeli site located at HaBoursa area in Ramat Gan and the APAC team. You'll own the workplace experience for the entire Israel team and the APAC team, from facilities and vendors to events and administrative support, making sure the office runs smoothly and feels like a great place to work every day.
You'll be a hands on, detail oriented operator who takes pride in creating a well organized, welcoming environment, and who can juggle facilities, vendors, and people all at once.
You are someone who thrives on ownership, communicates clearly, and enjoys being the person who makes things happen behind the scenes.
This is a part time position, 50%, with flexible hours based on office needs, including one day per week working from home.

What you'll do
Oversee the office space and coordinate with the building management and vendors on maintenance, cleaning and repairs
Handle day to day facilities operations, including the order of groceries, office supplies, equipment, and parking logistics, to ensure the office runs smoothly
Negotiate contracts and pricing with vendors
Plan and execute company events, holidays, and team celebrations for the Israel team
Support welfare initiatives that strengthen team culture
Greet visitors and manage incoming deliveries, serve as the first point of contact for the office
Assist the HR and finance teams with administrative tasks
Ensure the office meets Israeli workplace safety regulations and manage related certifications
Coordinate logistics for new hire desk setup, equipment, and office access, working alongside the People team who own onboarding itself.
Minimum 1 year of experience as an Office Manager or Workplace/Facilities coordinator in Israel, ideally in a tech or B2B SaaS company
Native or fluent in Hebrew and strong professional English
Proven experience managing vendors and office logistics independently
Based in or able to commute to Ramat Gan on a regular basis
Available for a part-time, 50%, flexible schedule based on office needs
Comfortable with office and vendor management tools, expense processes, and basic administrative systems
Familiarity with tools like Bob (HiBob) and Slack is a plus
Highly organized and detail-oriented
Strong communicator, comfortable interfacing with global, US-headquartered teams
Service-oriented and comfortable being the go-to person in the office
Able to manage multiple priorities independently

Required Algorithm Analyst & Tools Developer
Join us and help evaluate the performance of cutting-edge technologies powering the future of autonomous driving.
As an Algo Analyst & Tools Developer, you will validate the quality of complex algorithmic systems and build the infrastructure to analyze them.
You will examine large-scale data collected from drives all around the world, investigate system behaviors, and generate actionable insights.
Beyond traditional analysis, this role includes designing and developing AI-powered analysis tools that will help streamline and boost the productivity of our analysis and validation efforts.
What will your job look like:
Develop diagnostic tools for performance and quality metrics analysis.
Work to boost analysis efficiency by deploying AI-powered tools.
Develop and maintain automated analysis and monitoring workflows.
Present clear findings and recommendations through reports and summaries.
Collaborate with algorithm developers and product managers to validate new developments and drive future improvements by proactive problem finding.

Required AI Algorithm Engineer - Vision Localization Group
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.

We are seeking a highly skilled and experienced Senior Microsoft Sysadmin to join our IT team. The ideal candidate will be responsible for managing and supporting our Active Directory and Office 365 environments, ensuring optimal performance, availability, and security. This role requires in-depth knowledge of Entra ID, SharePoint, OneDrive Exchange online and Teams technologies and the ability to lead complex infrastructure projects.
The position requires on-site presence 4 days per week (and 1 from home): 2 days at our Jerusalem site and 2 days at one of our other locations in Ramat Gan, Tel Aviv, or Petach Tikva.
What will your job look like:
Manage and support Microsoft Active Directory in sync with Entra ID
Manage and support Office365 environment with focus on SharePoint online and Teams
Implement and monitor applications and users authentication (AD, Entra ID)
Manage Users, Group and Computer objects and create Group Policy
Troubleshoot Windows Server Performance issues
Setup Entra ID single sign on (SSO), Enterprise applications and conditional access rules
Support and integrate applications running on Windows platform
Implement security fixes and enchantment across multiple environments
Provide second level support for operations issues in Microsoft environment.