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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.

Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

We are looking for a highly motivated and technically strong System Engineer.
In this role, you will work closely with the VP on a daily basis, taking ownership of complex technical assignments, driving cross-functional engineering activities, and supporting key technical decisions and execution.
You will leverage your deep system-level understanding to investigate complex technical challenges, identify the right stakeholders, challenge technical assumptions, and drive engineering teams toward effective solutions.
The ideal candidate combines strong system-level thinking with technical leadership, excellent analytical skills, independent execution capabilities, and the ability to drive complex initiatives across multiple engineering teams without direct authority.
What will your job look like?
Work closely with the VP on a daily basis, taking ownership of technical assignments, driving engineering execution, and supporting system-level analysis, planning, and key technical decisions.
Independently lead complex technical assignments from problem definition through investigation, solution alignment, execution, and closure.
Develop a deep end-to-end understanding of complex multidisciplinary systems, their architecture, interfaces, dependencies, and operational behavior.
Lead cross-functional technical investigations, engaging the relevant engineering experts, challenging technical assumptions, and ensuring effective root cause analysis and resolution.
Perform system-level analysis, evaluate technical alternatives, and identify dependencies and design trade-offs.
Work closely with Software, Hardware, Algorithms, and Product teams to drive technical alignment, resolve blockers, and ensure effective execution across engineering groups.
Investigate complex technical challenges, identify gaps, and drive the definition and implementation of practical engineering solutions.
Identify execution gaps, technical risks, and cross-team dependencies, proactively driving their resolution.
Translate complex technical findings into clear conclusions, actionable recommendations, and decision points for senior leadership.
Support technical decision-making throughout the system development lifecycle, ensuring alignment between technical decisions and execution priorities.

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.

We are looking for a skilled and motivated Embedded SW Group manager for the Platform OS Department to manage the OS integration, automation & qualification activities. The Platform OS department is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. Youll lead a fast-paced, hands-on and dynamic group of integration and automation engineers, contributing to our overall qualification and integration effort while collaborating with other teams across the organization.
What will your job look like:
Lead a group of 12-15 engineers and team leads split into 2-3 teams of SW Integration, Automation and Qualification.
Manage the daily integration of the aggregated delivery of 5-6 OS teams upstream into our SW stack.
Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
Managing a daily integration forum to track nightly tests reports, triaging new issues and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Lead the development of the qualification system level tests to verify the quality of the integrated delivery.
Tracking the utilization, health, and allocation of the HW resources in the farm and balancing test coverage to HW availability.
Acting as a PoC for all OS integration and qualification issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage.

Required Senior System Hardware Architect
About the team:
Join our SoC Architecture team and help shape the next generation of EyeQ-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications.
In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. Youll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment.
Why Join Us?
Shape our next-generation automotive compute platforms.
Work across EyeQ SoCs, ADAS, autonomous driving, and Robotaxi technologies.
Influence platform decisions from early concept through deployment.
Collaborate with leading experts across hardware, software, SoC architecture, safety, and security.
Solve complex multidisciplinary challenges that will shape future vehicle architectures.
What will your job look like:
Define system hardware architectures for EyeQ-based automotive compute platforms, reference systems, and customer configurations.
Architect the integration of EyeQ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components.
Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces.
Translate product and customer needs into clear system requirements, interface specifications, and design guidelines.
Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security.
Influence EyeQ SoC requirements and drive platform BOM and component architecture.
Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams.
Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation.
Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners

Required Senior Software Engineer - C++ Embedded Systems (Autonomous Driving)
About the team:
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.

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 our 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.

We are looking for a Senior Network System Architect to define and drive the communication architecture of complex automotive embedded platforms. You will translate product, vehicle and customer needs into scalable network concepts, interfaces and requirements, and lead technical decisions across in-vehicle communication, compute platforms.
The role spans Automotive Ethernet, CAN and CAN FD, network topology, switching, routing, time synchronization, diagnostics, service-oriented communication, bandwidth and latency analysis, network management, security, wake-up behavior and system integration. You will work across system, hardware, software, safety, security, validation, program teams, customers and technology partners.
What will your job look like:
Own the end-to-end communication and network architecture for complex automotive platforms and major platform capabilities.
Translate product, vehicle and customer needs into network concepts, logical and physical topologies, interface definitions and clear system requirements.
Drive architectural decisions across Automotive Ethernet, CAN and CAN FD, SOME/IP, DoIP, UDS, TSN and gPTP time synchronization.
Perform bandwidth, latency, jitter, utilization and availability analysis, including worst-case behavior, startup and degraded modes.
Define network management, wake-up and sleep concepts, including partial networking and Ethernet wake mechanisms.
Align networking requirements with functional safety, cybersecurity, performance, reliability, cost and product constraints.
Lead technical alignment with ECU, SoC, hardware, embedded software, middleware, diagnostics, safety, security and validation teams.
Define verification strategy and acceptance criteria for communication performance, interoperability, conformance and fault handling.
Identify architectural gaps and risks early, define mitigations and drive complex cross-domain issues to closure.
Collaborate with customers, semiconductor vendors, switch vendors and tool providers on interfaces, capabilities and integration.

Required Senior Mechanical Engineer
About the team:
The Mechanical Engineering team develops practical solutions for a wide range of our systems, including vehicle and sensor integration, opto-mechanical systems, electronic packaging, prototypes, and test equipment.
We are a small, experienced, hands-on team working closely with system engineering, hardware, algorithm, optics, vehicle, and manufacturing teams, as well as suppliers. Our work covers the full development process-from requirements and concept design through analysis, prototyping, validation, and production support.
In this role, you will focus mainly on integrating a wide range of sensors across diverse platforms while contributing to other mechanical engineering projects as needed.
What will your job look like:
Design mounts and installation solutions for cameras, lidar, radar, computing units, and related hardware.
Develop projects from requirements and concept through detailed design, prototype, validation, and release.
Perform initial structural analysis and validation of designs for vehicle loads, vibration, and durability.
Prepare 3D models, drawings, GD&T, tolerance analyses, and production documentation.
Build and test prototypes and installation kits.
Work closely with vehicle, hardware, system, manufacturing, purchasing, and supplier teams.
Support manufacturing and resolve design and installation issues.

We are looking for a Senior Embedded System Architect to define and drive the architecture of complex embedded computing platforms, from product needs through design, integration, validation and production. You will translate customer and product needs into clear architectures and requirements, lead cross-domain technical decisions and ensure our systems are robust, scalable, observable, diagnosable, testable and maintainable throughout their lifecycle.
The role spans hardware, embedded software, SoCs and MCUs, networking, memory and storage, power management, boot and update flows, diagnostics, safety mechanisms and system integration.
** This role requires working from our Petah-Tikva site 1 day per week.
What will your job look like?
Own system architecture for complex embedded platforms and major platform capabilities.
Translate product and customer needs into system concepts, architectures, interfaces and clear requirements.
Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows.
Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring.
Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners.
Analyze system performance, availability and reliability constraints and convert them into architectural decisions.
Identify architectural gaps and risks early, define mitigationsand drive complex cross-domain issues to closure.
Balance functionality, performance, cost, complexity, safety, reliability and product constraints.

We are looking for a talented Senior Backend Python Developer to join our team building a next-generation, large-scale Data Platform.
The autonomous vehicle industry generates massive amounts of data. Our challenge is to make this data accessible, reliable, and usable across the organization, empowering AI/ML developers, validation teams, analysts, and more.
We are building a cloud-based, distributed platform using modern technologies, with a strong focus on scalability, performance, and innovation.
What will your job look like?
Design and develop large-scale, cloud-based backend services and data processing platforms.
Build scalable, high-performance solutions based on microservices architecture.
Take ownership of features and services, from architecture and implementation to production.
Explore and integrate modern technologies, including LLM-powered applications and AI agents.
Collaborate with talented engineers, solve complex technical challenges, and continuously improve engineering practices.
Tech Stack: Python, FastAPI, PostgreSQL, Spark, AWS, Docker, Kubernetes, LLMs & AI Agents.

Required Senior Backend Engineer
About the team:
You will be part of our REM (Road Experience Management) department, which is responsible for the automated creation of High-Definition (HD) maps, a key technology powering our autonomous driving and advanced driver-assistance systems (ADAS).
The map-building process involves executing advanced algorithms and processing massive amounts of data in parallel. This requires sophisticated distributed systems, Big Data technologies, and a deep understanding of both the map creation process and its underlying infrastructure.
Our team is responsible for developing and maintaining the core frameworks and infrastructure that enable large-scale, parallel execution of map-building jobs. We design and build scalable, reliable, and efficient platforms that orchestrate, execute, and monitor thousands of computational jobs, supporting both production and development environments.
Our infrastructure serves as the backbone of the map creation process, with a strong emphasis on scalability, performance, reliability, observability, and advanced debugging capabilities for both map data and algorithmic code.
This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.
What will your job look like?
Design, develop, and maintain Python backend services and frameworks that power our large-scale HD map creation platform.
Optimize systems and code across multiple layers - from architecture to implementation.
Take ownership of REM's workflow management platform, including its core Python framework, backend services, and APIs, enabling rapid development and reliable execution of computational jobs at production scale.
Develop scalable, reliable, and high-performance backend solutions for distributed computing and large-scale data processing.
Continuously improve system architecture, performance, stability, and observability to meet evolving production and development needs.
Collaborate with engineers, algorithm developers, and stakeholders across the department to design and deliver infrastructure solutions.

We are looking for a Semiconductor Quality & Reliability (Q&R) Engineer with experience in yield analysis and semiconductor device physics. The role focuses on analyzing silicon data, identifying yield and reliability issues, and supporting root-cause investigations and continuous improvement.
What will your job look like:
Perform semiconductor yield analysis and identify yield-loss mechanisms, parametric trends, and outliers.
Analyze test, wafer, and silicon data to support quality and reliability investigations.
Apply device physics knowledge to understand electrical behavior, process variation, and potential failure mechanisms.
Support root-cause analysis and corrective actions for yield and reliability issues.
Collaborate with design, product, test, process, and manufacturing teams to improve product quality and yield.
Prepare technical analyses, reports, and recommendations based on silicon data.