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we are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
Our group is located in Haifa and is responsible for enabling the deep learning and computer vision algorithms on the company platform. The technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles.
This is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the AI domain.
What will your job look like?
Shape our cpmpanys product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our company hardware and software
Develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as PyTorch and converts them into code suitable for execution on custom-built our company hardware
Use state-of-the-art open-source technologies such as MLIR and work closely with the open-source community
Develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models onto our state-of-the-art systems
Develop a toolchain that will provide a quantum leap in Deep learning capabilities and performance.

You will be part of our company's REM department. our companys Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services.
Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.
You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

our company's Automated Driving group in Haifa 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 company's 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).

we are looking for an Emulation Engineer to join our Radar VLSI team and drive the development of next-generation ASIC Sensors.
We are developing best-in-class automotive radar solutions to complement our companys autonomous driving platform. Joining our expert team, you will leverage our companys unique assets to work on cutting-edge technology in a dynamic and challenging environment.
What will your job look like?
In this role, you will build high-end Emulation environments based on new designs. The position involves building and integrating complex components, working with cross-functional engineering teams, and developing systems that will change the way we drive.
We are looking for an engineer who thrives on challenges and is committed to engineering excellence while navigating complex constraints.
Lead Emulation development for the VLSI team.
Work closely with SW, Logic, and Verification engineers.
Serve as an expert matter for your domain, with full responsibility for driving and implementing improvements and new ideas.

Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).
Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.

our company SOC verification group owns the important and challenging job of verifying our company's 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.

our company SOC verification group owns the important and challenging job of verifying our company's 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.

We are seeking a hands-on Program Manager (PMO) to lead complex customer programs in a fast-growing, multidisciplinary deep-tech environment.

This role drives execution across customers, R&D and operations teams, owning programs from early design engagement through data centres qualification and production ramp - directly enabling customer adoption, predictable delivery, and revenue growth.

Responsibilities
Own end-to-end execution of customer programs - from design-in through DC qualification and production ramp.
Drive on-time delivery of milestones and customer commitments in complex technical environments.
Act as the execution focal point between customers, R&D and operations teams.
Build and scale multi-customer execution frameworks that support company growth.
Proactively identify risks, remove blockers, and minimize escalations across programs.
Ensure high-quality delivery while protecting engineering focus.

our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.

The SW validation team plays a key role in enabling the next generation of autonomous driving technologies. In their primarily Python-based development environment, they are responsible for developing and maintaining test content for the autonomous vehicle brain, supporting complex end-to-end validation flows across the system.
As part of the full autonomous driving pipeline, they work closely with cutting-edge technologies and gain direct exposure to the real-world impact of their work - helping bring some of our companys most advanced autonomous driving capabilities from development into reality.
What will your job look like:
Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows
Review and approve system architecture requirements
Design and implement complex test solutions
Enforce compliance with autonomous vehicle industry standards.

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
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.

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
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.

we are seeking a strong ML Software Engineer to join our deep learning LiDAR & Radar group and help scale the systems that bring cutting‑edge perception models into production. Youll build the software layers, data pipelines, and runtime systems that turn advanced neural networks into reliable, high-performance solutions running on edge devices.
This is a hands-on, high‑ownership role within a growing group working closely with algorithm developers. The work spans Python and C++, ML infrastructure, model integration, performance optimization, and production delivery.
** The role includes working on-site at our Jerusalem office several days per week.
What will your job look like:
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
Build ML pipelines for data-based diverse dataset creation and efficient model inference
Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
Partner with algorithm teams to translate model weaknesses into data curation criteria
Develop validation and diagnostics to measure dataset quality-not just pipeline health but training effectiveness
Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
Bring models from research/prototype stage into robust, production‑ready deployments
Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
Contribute to deployment flows (e.g., model conversion, profiling, optimization)
Build and improve CI/CD pipelines, automated testing, and development workflows.