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Required SoC Performance Modeling Engineer
The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV).
Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our needs.
You will work closely with HW architects and SW/Algorithms developers.

Required Senior Test Engineer & Technical Lead
You will be part of our REM department. Our Road Experience Management (REM) is an end-to-end mapping and localization engine.
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. Our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of big data.
What will your job look like:
Lead and coordinate the validation of major software releases that integrate features from multiple algorithmic teams. Provide informative analysis based on clips and data review.
Manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
Prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
Plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
Collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
Participate in the planning and design of advanced validation processes.

We are looking for a Safety Assurance Expert to our the Safety team developing novel approaches to assess and promote autonomous vehicle (AV) safety.
Safety is a core decision driver at the highest level of development and business strategy, directly impacting project timelines and approval for our most advanced programs.
Demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. It requires a deep understanding of the entire AV system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach.
What Will Your Job Look Like?
Contribute to the development of a large-scale autonomous system from its early stages and see it through to deployment.
Take part in the safety assessment process, leading I1 assessments and defining and tracking key performance indicators (KPIs) for the AV system.
Propose and implement new methods and tools to support comprehensive safety evaluations.
Identify and analyze potential safety riskssuch as those related to driver behaviorand develop strategies for mitigation.
Collaborate with stakeholders across the automotive industry to build broad acceptance of our safety methodology.
Work closely with customers and regulatory bodies on all aspects of safety assurance.

Required Senior Python Developer for Map Management
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 alogritmic developments, cross teams (algo and engineering) developments.
What will your job 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.

We are seeking an experienced and innovative Senior Platform Engineer to orchestrate the evolution of our cutting-edge GitOps platform. This role is ideal for an engineer with a strong software development background who is passionate about building scalable platforms and developer tools. As the driving force behind our platform innovation strategy, you will be responsible for creating robust self-service solutions, ensuring the stability of our CI/CD workflows, and spearheading large-scale projects in collaboration with stakeholders and engineering managers.
If you are passionate about applying your software engineering skills to solve complex infrastructure challenges, we want to hear from you.
What will your job look like
Architect, implement, and drive the strategic direction of our GitOps platform, leveraging ArgoCD and Helm on Amazon EKS.
Develop and maintain user-friendly, self-service tools and automation to empower our engineering teams and accelerate development cycles.
Own and enhance our GitLab CI pipelines, ensuring they are stable, performant, and scalable to meet the demands of a growing organization.
Apply software engineering best practices to design, develop, and maintain robust platform tools, services, and automation using Python, Bash, and Node.js.
Direct complex, cross-functional projects from conception to completion. Work closely with developers, engineering managers, and other stakeholders to gather requirements, drive adoption, and communicate progress.
Champion DevOps and GitOps best practices across the organization and mentor other team members.

Required Senior HW System Architect
We provide modular automotive systems that transform mobility by bringing cutting-edge, safe-by-design self-driving technology and a complete, modular solution with flexible business models to the market.
As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration of our products into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints).

We are leading innovator in autonomous driving technology. We are looking for a highly experienced and motivated engineer to join our embedded software team, responsible for developing Real-time visualization applications and pipelines for next-generation automotive systems. This role involves hands-on development in performance-critical environments and close collaboration with hardware and system teams.
What will your job look like:
Design and implement software infrastructure components and applications in the area of automotive visualization systems.
Develop efficient, maintainable, and scalable code for performance-sensitive systems.
Work closely with system architects and hardware engineers to integrate software into complex embedded environments.
Debugging and profiling on simulation environment and on real hardware.
Ensure solution stability and health through testing and integration into CI pipelines.
Work according to ASPICE methodology and support related quality processes.

Our Platform Group in Jerusalem is looking for an embedded SW developer who will be responsible for developing embedded SW products - Low-level drivers, Bring-ups, etc. This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting-edge technologies.
We are looking for a RT embedded Software Engineer to join the development of the next phase and cutting-edge Software group. You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system.
What will your job look like?
Develop the software infrastructure for existing and new generation EyeQ chips.
Develop multi-threaded, multi-core system under a custom real-time operating system as well as embedded Linux.
Develop and debug of CI test content for infrastructure modules.
Performance optimizations and tuning.

We are seeking an experienced and innovative Senior Platform Engineer to orchestrate the evolution of our cutting-edge GitOps platform. This role is ideal for an engineer with a strong software development background who is passionate about building scalable platforms and developer tools. As the driving force behind our platform innovation strategy, you will be responsible for creating robust self-service solutions, ensuring the stability of our CI/CD workflows, and spearheading large-scale projects in collaboration with stakeholders and engineering managers.
If you are passionate about applying your software engineering skills to solve complex infrastructure challenges, we want to hear from you.
What will your job look like
Architect, implement, and drive the strategic direction of our GitOps platform, leveraging ArgoCD and Helm on Amazon EKS.
Develop and maintain user-friendly, self-service tools and automation to empower our engineering teams and accelerate development cycles.
Own and enhance our GitLab CI pipelines, ensuring they are stable, performant, and scalable to meet the demands of a growing organization.
Apply software engineering best practices to design, develop, and maintain robust platform tools, services, and automation using Python, Bash, and Node.js.
Direct complex, cross-functional projects from conception to completion. Work closely with developers, engineering managers, and other stakeholders to gather requirements, drive adoption, and communicate progress.
Champion DevOps and GitOps best practices across the organization and mentor other team members.

Required Senior Deep Learning Algorithm Developer
We are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios.
Our Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.