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We are looking for a passionate and experienced System Validation Architect to lead the definition and evolution of validation methodologies for complex multidisciplinary systems. In this role, you will combine deep system-level understanding with extensive validation expertise to drive platform validation strategies, identify technical risks, influence architectural decisions, and ensure the quality, robustness, and reliability of our products throughout the development lifecycle.
What will your job look like?
Develop a deep understanding of the system architecture and its implementation across all platform features and domains.
Define, own, and drive feature-level and platform-level validation strategies, leveraging positive, negative, boundary, fault-injection, robustness, integration, and architectural validation methodologies to ensure comprehensive system verification and risk mitigation.
Derive and define platform-level validation requirements, methodologies, coverage models, validation criteria, and acceptance criteria that complement and extend existing system requirements.
Identify validation gaps, testability challenges, architectural weaknesses, and technical risks early in the development lifecycle.
Review platform architecture and design decisions, providing validation-driven feedback to improve quality, reliability, robustness, and testability.
Influence architectural decisions through validation findings, root-cause investigations, technical analysis, and data-driven recommendations.
Lead root-cause analysis of complex system-level issues and drive resolution across multidisciplinary engineering teams.
Serve as the technical focal point for validation-related architectural discussions, methodologies, and best practices.
Collaborate closely with system architects, developers, and validation engineers to ensure validation considerations are integrated throughout the product development lifecycle.
Drive continuous improvement of validation methodologies, tools, processes, and coverage across the platform.

Our Autonomous Driving group is looking for a system integration engineer to join our growing team!
You will play a key role in designing and developing AV platforms, and should be comfortable with defining complex system architectures and hands-on bring-up, debug, and prototyping.
The system integration team ensures fast & successful enablement of our AV platforms, from design phase to product launch, while collaborating with internal & external stakeholders. We're looking for a strong, hands-on, System Integration Engineer who is passionately motivated by challenges and excels in troubleshooting complex problems.
What will your job look like?
Accompany the product development from the early design stages (block diagram, schematics, layout, SI/PI/TA simulations), reviewing and approving the hardware design, towards the board bring-up and approval.
Collaborate with multi-discipliner (HW/SW/System) development teams, in order to ensure the product success prior customer delivery.
Responsibility for providing quick and professional analysis and troubleshooting of advanced issues.
Have the opportunity to work on innovation, including initiating and developing tools to enhance the team's work efficiency.

We are looking for a passionate and experienced System Architect to lead the definition and evolution of validation methodologies for complex multidisciplinary systems. In this role, you will combine deep system-level understanding with extensive validation expertise to drive platform validation strategies, identify technical risks, influence architectural decisions, and ensure the quality, robustness, and reliability of our products throughout the development lifecycle.
What will your job look like?
Develop a deep understanding of the system architecture and its implementation across all platform features and domains.
Define, own, and drive feature-level and platform-level validation strategies, leveraging positive, negative, boundary, fault-injection, robustness, integration, and architectural validation methodologies to ensure comprehensive system verification and risk mitigation.
Derive and define platform-level validation requirements, methodologies, coverage models, validation criteria, and acceptance criteria that complement and extend existing system requirements.
Identify validation gaps, testability challenges, architectural weaknesses, and technical risks early in the development lifecycle.
Review platform architecture and design decisions, providing validation-driven feedback to improve quality, reliability, robustness, and testability.
Influence architectural decisions through validation findings, root-cause investigations, technical analysis, and data-driven recommendations.
Lead root-cause analysis of complex system-level issues and drive resolution across multidisciplinary engineering teams.
Serve as the technical focal point for validation-related architectural discussions, methodologies, and best practices.
Collaborate closely with system architects, developers, and validation engineers to ensure validation considerations are integrated throughout the product development lifecycle.
Drive continuous improvement of validation methodologies, tools, processes, and coverage across the platform.

Required Solution Architect for Embedded Autonomous Vehicle System
About the team:
Join us, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
** This role requires working from our Petah Tikva site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with our hardware and software capabilities.
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

Required Solution Architect for Cloud Communication
About the team:
Join us, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
What will your job look like:
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with our hardware and software capabilities.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

Required Software Algorithms RT Engineer - Active Sensor Group
About the team:
The team is responsible for the software infrastructure surrounding Radar and LiDAR sensors and is part of our Algo Optimization group. We bridge the gap between cutting-edge sensor technologies and our proprietary hardware accelerators.
We build the core software foundation for perception algorithms, managing the end-to-end flow of sensor data ingestion, parsing, validation, and real-time optimization. Working at the intersection of software, firmware, and hardware, we play a critical role in bringing next-generation sensing capabilities to production vehicles.
What will your job look like:
Design and develop software integration and automation solutions that support our development and validation environments.
Build scalable infrastructure, tools, and frameworks that enable efficient software integration across multiple platforms.
Develop automation pipelines to improve software delivery, testing, deployment, and system reliability.
Analyze complex software systems, identify integration challenges, and drive performance and stability improvements.
Take ownership of system-level debugging, troubleshooting, and root-cause analysis across software components.
Collaborate closely with software, DevOps, infrastructure, validation, and system engineering teams to deliver robust end-to-end solutions.
Contribute to software architecture, integration strategy, and engineering best practices across the organization.
Continuously improve development workflows by introducing automation, monitoring, and infrastructure enhancements.

We are looking for a highly skilled Senior Thermal-Mechanical Engineer to join our mechanical engineering team as a key player in the development of next-generation high-performance compute platforms for autonomous driving systems.
This key position includes leading the thermal-mechanical design and cooling architecture of advanced electronic systems throughout all lifecycle stages-from concept to mass production-while working closely with hardware, PCB layout, mechanical, validation, manufacturing, suppliers, and customers.
What will your job look like?
Lead the thermal-mechanical design process from concept through validation, NPI, and production.
Define cooling architectures and optimize air- and liquid-cooling solutions for high-power electronic systems.
Perform thermal simulations and analyses using tools such as Icepak, FloTHERM, Fluent, or equivalent.
Perform mechanical simulations and analyses using tools such as ANSYS Mechanical, Abaqus, Nastran, or equivalent.
Correlate simulation results with lab measurements and drive solutions that meet system requirements.
Lead thermal validation, prototyping, environmental testing, and reliability activities.
Collaborate closely with cross-functional teams, suppliers, subcontractors, and customers.
Support mechanical design and serve as a technical focal point for complex thermal-mechanical challenges.

We are looking for a highly experienced Senior Thermal Engineer to join our Architecture engineering team and take a key role in the development of next-generation SoCs, ECUs, and high-performance compute platforms for autonomous driving systems.
The position combines SoC/package thermal development, ECU cooling architecture, thermal simulation, characterization, validation, and vehicle-level thermal integration, working across multiple next-generation programs from early concept through qualification and production.
Please note: This position is also relevant for our other sites in Haifa, Petah Tikva, and Jerusalem.
What will your job look like?
Work on thermal development of next-generation SoCs and air/liquid-cooled ECU platforms, covering product requirements, thermal architecture, design, simulation, characterization, testing and qualification.
Perform detailed thermal performance assessment and CFD analysis of next-generation SoC/package designs, including die/package temperature distribution, heat spreading, thermal interfaces, material and stack-up optimization, and thermal resistance evaluation
Develop and evaluate advanced cooling solutions, including air cooling, liquid cooling, heat pipes, and advanced heat-spreading technologies.
Support vehicle-level cooling architecture and ECU integration for next-generation autonomous driving and Robotaxi platforms.
Define cooling requirements including coolant temperature, flow rate, pressure drop, thermal interfaces, and system thermal margins.
Correlate simulation results with laboratory and product measurements, drive thermal optimization and troubleshooting throughout development and qualification.
Work closely with silicon Arch, package, HW, mechanical, electrical, validation, suppliers, Tier-1s and OEM customers.

Required Senior System Architect for ECU designs
About the team:
We are at the forefront of developing autonomous driving systems with leading OEMs, by integrating our state-of-the-art ECUs into various vehicles.We are developing advanced automotive ECUs for next-generation vehicle functions. Our programs require a robust end-to-end verification strategy that ensures design correctness, safety, and performance across complex HW/SW systems and multiple suppliers
In this role, you will own the system architecture for our ECU designs-from defining the verification concept and traceability, through specifying verification environments and evidence, to leading technical alignment across hardware, embedded software, and validation teams.Youll collaborate with architects, design engineers, verification leads, and suppliers to deliver high-quality ECU platforms to OEMs and Tier 1s. Your work will directly influence product quality, time-to-market, and readiness for customer reviews and audits.
What will your job look like:
Engage directly with customers to analyze requirements and negotiate existing solutions to meet their needs.
Define system requirements and architecture that align with customer needs and integrate with our software (SW) and hardware (HW) products.
Collaborate with Product Management to ensure architectural coherence across the entire product lines.
Work closely with Project Managers to define and prioritize engineering R&D scopes and product release dependencies.
Drive cross-functional technical alignment: Work with HW, embedded SW, system architects, and validation leads to ensure designs are verifiable (DFV), interfaces are testable, and assumptions are reviewed and documented.
Ensure compliance with ASPICE Level 2 standards for System and Software Requirements and Architecture.
Own risk management and escalation: Identify verification gaps and high-risk features; propose mitigation plans and drive execution across teams.

We are looking for a hands-on Senior SOTIF Analyst to join the team developing a novel approach to validating the safety of autonomous vehicles.
Demonstrating the safety of autonomous vehicle systems is one of the most challenging problems at the frontier of technology. It requires a deep end-to-end understanding of the AV system, rigorous technical analysis, and the ability to translate safety challenges into measurable KPIs, practical tools, and scalable methodologies.
In this role, you will work closely with R&D, Validation, customers, and industry stakeholders to shape and advance our SOTIF approach and support its broad acceptance across the automotive industry.
What will your job look like?
Lead the design & development SOTIF (Safety Of The Intended Functionality) concept and KPIs for AV systems.
Work closely with R&D and validation on bringing our concepts to reality.
Initiate new methods and tools to support the safety analysis of the AV system.
Hands-on development of tools, analysis and solutions together with an Agile team.
Identify potential safety risks , such as driver behavior, and develop strategies to mitigate those risks.
Develop and implement SOTIF requirements and guidelines for the design, development, and testing of systems.
Work with the automotive industry to get to a wide acceptance of our methodology.
Work closely with customers and regulators on SOTIF related aspects.

Required Senior Software Engineer - C++ Embedded Systems (Autonomous Driving)
About the team:
We are part of REM (Road Experience Management) organization, responsible for the HD maps that power our autonomous driving technologies. Our team develops the in-vehicle map platform, including smart cloud map downloads, caching, map management, efficient APIs for map consumers, and protocols for distributing map data across vehicle ECUs. We also develop map-based algorithms such as route calculation and lane network generation, which are key components of autonomous driving systems. This is a highly technical role involving embedded software, large-scale map data, performance optimization, and collaboration across multiple engineering teams.
What your job will look like:
Design and develop high-performance C++ software for embedded automotive systems
Develop infrastructure for HD map download, caching, storage, and distribution
Build efficient APIs and communication protocols for map consumers
Develop map-based algorithms, including routing and lane network generation
Optimize software for performance, memory usage, and reliability
Collaborate with algorithm, cloud, and infrastructure teams to deliver production solutions
Lead technical design discussions and mentor other engineers.

Ou Software Group is looking for an experienced Python Infrastructure Tech Lead to join our Software Infrastructure Team.
Our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. We build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across.
In this role, you will lead the architecture, design, development, and maintenance of high-quality Python-based infrastructure and applications. You will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact our core automotive technologies.
What Will your Job Look Like?
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Take ownership of system architecture and technical design, from high-level design to implementation.
Collaborate with cross-functional teams to define, design, and ship new features.
Develop and maintain Python applications for various projects.
Optimize applications for maximum speed.
Write clean, efficient, and well-documented code.
Troubleshoot and debug issues as they arise.
Stay up-to-date with the latest industry trends and best practices.
Help shape a structured, collaborative, and improvement-driven engineering culture.

Required Senior Python Developer for Map Management
About the team:
You will be part of our REM department that is responsible for the automatic High-Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. Our team focuses on next phase developments within the map creation system, which involves algorithmic developments, cross teams (algo and engineering) developments.
What your job will look like:
You will have full responsibility over a development and design of logics and components that are essential for the map
Intensive teamwork along the development path - internally with the algorithmic team and externally with other teams
Development of a high-performance computing system
Will take part on making the world's roads a safer place.

Required Senior ML Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).