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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).

We are looking for a talented Senior Full-Stack Platform Engineer to join a our "Enterprise AI Enablement" team.
In this role, you will combine hands-on full-stack engineering, platform ownership, product thinking, and technical leadership in agent-led development. You will own solutions end-to-end, from understanding user needs and shaping the experience to architecture, UX/UI, frontend, backend, data modeling, integrations, deployment, and production operation.
You will also help lead how we adopt agentic development, continuously evaluating emerging models, tools, and engineering practices and turning them into effective, reliable development workflows.
What will your job look like?
Own and evolve complex products end-to-end, from requirements and user experience through implementation and production.
Design and develop scalable full-stack solutions, including frontend applications, backend services, APIs, data models, integrations, and asynchronous workflows.
Lead the adoption of agent-led development across discovery, design, implementation, testing, review, and delivery.
Evaluate and apply evolving AI models, coding agents, agentic workflows, tool calling, context management, and orchestration techniques.
Translate complex business and technical needs into intuitive, reliable, and maintainable products.
Drive architectural decisions around scalability, reliability, security, authorization, data integrity, and failure recovery.
Maintain and improve production systems while collaborating with users, engineers, and cross-functional stakeholders.