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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 are looking for a Senior ML Algorithm Engineer to lead the development and optimization of machine learning models for challenging real-world problems.
In this role, you will work hands-on across the full model-development lifecycle: understanding the task, designing and adapting algorithms, building effective training strategies, analyzing data and failure modes, and improving model quality and efficiency through rigorous experimentation.
This is an algorithm-focused role for someone who enjoys getting deeply involved in the details of model training and optimization. You will not simply operate an existing training infrastructure-you will investigate open-ended problems and develop practical solutions involving model architecture, data and sample selection, training objectives, optimization methods, and evaluation
What will your job look like:
Work on the semantics of road objects, using harvested tabular data as the primary input to our algorithms - turning large-scale, real-world observations into models that capture object meaning, attributes, and behavior on the road network.
Design, implement, and optimize machine learning and deep learning algorithms for these semantic tasks, from architecture and training objectives through evaluation and efficiency.
Develop and improve end-to-end model training pipelines, from data preparation and sampling of harvested tabular datasets through training and evaluation.
Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements.
Develop effective strategies for data selection, dataset composition, sampling, augmentation, loss design, and training schedules.
Lead the investigation of complex algorithmic challenges, uncover patterns in data and model behavior, and translate insights into measurable improvements.

Outstanding Graduate Algorithm Developer - 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.

Required Outstanding Graduate - Machine Learning Engineer
About the team:
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 a Senior Mechanical Design Engineer to join our mechanical engineering team at the AV Platform department as a key player in the development of next-generation ECU (electrical control unit) for autonomous vehicles.
This key position includes leading the product design throughout all lifecycle stages, from inception to mass production, close interaction with hardware, layout, thermal, quality, V&V, reliability, production and working closely with OEMs, stakeholders and suppliers.
What will your job look like?
Take full ownership of the mechanical design, from concept, through detailed design and support during Qualification, NPI and MP stages.
Work closely with the hardware and layout team to define PCB outline, height limitation, keep outs and integrate the electrical design into the mechanical.
Perform DFM, mechanical simulation and stack up/tolerance analysis.
Analyze customer requirements and extract all relevant information for the ECU design.
Work closely with OEMs and tier-1 manufacturers.

Required Experienced SoC Verification Engineer
About the team:
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.

Experienced Machine Learning Engineer
About the team:
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.

Our Automated Driving group is looking for an experienced DFT Engineer.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting-edge technologies - Autonomous Vehicle (AV) SoC.
At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
Develop all the necessary HW / FW / SW for the different modules.
Verify and Validate our design.
Debug and analyze coverage and yield loss.
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts - as it required by the Automotive and Safety related products market (ISO26262).

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 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.