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Required Deep Learning Researcher
About the team:
A pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
Our team is at the forefront of our most advanced AI efforts. As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products. If youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

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.

We are looking for a VP of Customer Success & Delivery to lead our global customer-facing organization, wearing two complementary hats: Customer Success and Service Delivery. Serving as a member of the Leadership Team, you will own the entire customer journey - driving customer value, satisfaction, retention, and growth, while ensuring flawless delivery of our Professional Services and Customer Success management.

On the Customer Success side, you will shape and execute the companys customer success vision, aligning business outcomes with our cutting-edge cybersecurity products and building long-term relationships that deliver measurable business impact for enterprise and Fortune 500 customers. On the Delivery side, you will lead global product installations and deployments, oversee professional services and technical account activities, and ensure excellent, timely service delivery across the team.

This role is both strategic and hands-on. It is ideal for a proven leader with strong cybersecurity domain expertise, experience building and managing global technical and customer-facing teams, and a passion for execution, quality, and customer value. The ability to work independently in a fast-paced environment is vitally important. You will be accountable for excellent service delivery, customer success, and professional service activities, and for managing the day-to-day operations of the team including driving customer goals, product engagement, research, and ongoing projects.

What Youll Do
Own the end-to-end customer journey across Customer Success and Professional Services, partnering with Sales on pre-sales technical activities, ensuring customers achieve maximum value from our company solutions.
Lead, recruit, and manage a world-class, global customer-facing team with strong technical capabilities.
Design and implement a Customer Success culture focused on execution, quality, mentorship, and open feedback.
Drive customer satisfaction, retention, and growth by aligning business outcomes with our products.
Lead global design, installation, and deployment of the product across customer environments.
Share best subject matter practice methodology with customers and partners to drive their success and ours.
Define and lead research assignments, complex technical projects, and team KPIs.
Oversee support case management to ensure tickets are completed successfully, accurately, in a timely manner, and to the customers satisfaction.
Ensure excellent product understanding and subject-matter knowledge throughout the team.
Partner closely with the Sales team on expansion, renewals, and technical wins, and collaborate with cross-functional teams as a leader.

We are actively seeking a seasoned and passionate Senior Python Software Engineer to play a pivotal role in shaping the technological landscape of our product. As a key member of our R&D team, you will be responsible not only for delivering top-tier code quality but also for driving innovation, implementing best practices as we navigate the ever-evolving startup environment.

What Youll Do
Develop high-quality, robust Python code that meets and exceeds industry standards.
Lead initiatives to continuously review and elevate internal code quality standards.
Participate actively in decision-making processes, contributing to architectural design and technology research.
Tackle diverse and complex problems related to scale, performance, and business logic.
Participate in on-call rotations, responding to production incidents, troubleshooting issues, and ensuring system reliability and availability.