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We are hiring an FPGA Verification engineer to ensure the quality and correctness of the most complex FPGA components. The role involves building modern self- checking testbenches, writing verification plans, and achieving full coverage of logic implemented in VHDL/Verilog. You will work closely with FPGA developers and system engineers to ensure our products are robust and fully reliable.
Responsibilities:
* Define and build verification environments from scratch at both Block and Top levels.
* Write SystemVerilog testbenches using advanced methodologies (UVM - strong advantage).
* Perform simulations and analyze results (Directed & Random testing
* Define and track coverage metrics (Code & Functional) to ensure verification goals are met.
* Work with leading simulation tools such as ModelSim, Questa, or Vivado.

We are looking for a talented system Integration Engineer to join a leading team in advanced technology. The role focuses on integrating software, hardware, and algorithms in complex systems, including navigation and GPS-resilient technologies. You will work in a dynamic lab environment, solve complex technical challenges, and ensure that systems meet the highest operational and performance standards.
Responsibilities
* Perform system integration between software modules and hardware boards in complex systems.
* Operate lab equipment such as oscilloscopes, spectrum analyzers, and signal generators
* Write and execute scripts ( Python /Bash) for TEST automation and data collection.
* Investigate system -level issues and collaborate with development teams to resolve them.
* Support acceptance testing (ATP) and facilitate the transition from development to production.

we are looking for an experienced system Engineer to join a cutting-edge technological environment, working on advanced Navigation (GNSS) and Anti-Jamming systems The role includes full ownership of the system engineering lifecycle - from requirements definition with the customer, through leading design reviews (PDR/CDR), to final integration and field trials. Key Responsibilities: Writing system requirements documents (SRD) and TEST specifications ( STD ) Leading design reviews and performing system performance analysis Defining system architecture combining hardware, software, RF and algorithms Performing trade-off analyses and managing engineering risks Close collaboration with development and integration teams to solve complex system -level challenges

we are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams at Mobileye.

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems

As a Product Validation Group Manager in the automotive industry, you will lead multidisciplinary validation teams responsible for ensuring the reliability, performance, and quality of advanced automotive systems and components.
You will apply cutting-edge validation methodologies, utilize real-time lab environments, and leverage innovative tools to drive accuracy, efficiency, and continuous improvement.
As the final gatekeepers, your teams will ensure that every version released to customers meets the highest standards of safety and excellence- enabling faster delivery, smarter innovation, and technology that drives the world forward.
What will your job look like:
Team Leadership: Lead, mentor, and manage a group of 4 teams of validation engineers and developers, fostering a collaborative and innovative team environment. Provide guidance, support, and professional development opportunities to team members.
Validation Process Management: Lead and oversee the planning, execution, and optimization of validation processes for cutting-edge automotive systems and components in a fast-paced, innovative-driven environment. Ensure all validation activities meet the highest industry standards while continuously enhancing quality, precision, and efficiency to accelerate delivery and innovation.
Methodologies and Frameworks: Utilize the V model and other software developments to structure and execute validation activities. Implement and optimize Continuous Integration and Continuous Deployment (CI/CD) methods within the validation process.
Tool Integration and Management: Manage the integration and use of tools such as Jenkins, JIRA, and other CI/CD systems in validation workflows. Develop and maintain automation scripts using Python to streamline validation processes and improve efficiency.
Real-Time Online Lab Systems: Oversee the setup, maintenance, and operation of real-time online lab systems used for validation. Ensure that all lab environments are fully equipped, optimally configured, and continuously enhanced through innovative technologies and practices to support efficient and reliable validation activities.
Project Management: Plan and manage validation projects, ensuring they are completed on time, within scope, and within budget. Coordinate with cross-functional teams to align validation activities with overall project goals and timelines.

Mobileye is looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of Mobileye 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. As the technical lead and architect for Quality and Test aspects of the OS teams, you will be contributing to the overall qualification effort of Mobileye while collaborating with OS development teams and architects

What will your job look like:

Work with the system and SW architecture teams closely.
Review and analyze all functional SW requirements from OS features and write the relevant testing and quality requirements for development teams.
Define the key performance indicators and the methodology of measuring and tracking them.
High level design of test scenarios.
Review test design and implementation with development teams.
Define functional requirements from the CI/DevOps teams to satisfy the OS quality needs.
Track the integration between the CI and OS tests.
Manage quality indicators like code quality and coverage indicators.
Mentor OS teams for quality programing and proper testing.
Track and analyze bug escapes on a continuous basis to improve testing coverage and overall quality.
Daily tracking of test coverage, resource utilization and testing time.
All you need is:

we are looking for a skilled and motivated Embedded SW Integration Team Lead for the Platform OS Department to manage the daily integration of the OS deliveries into SW stack. The Platform OS team 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 team of integration and automation engineers, contributing to the overall qualification and integration effort while collaborating with other teams across the organization.
What will your job look like:
Lead and mentor a team of 4-6 SW Integration and Automation engineers
Manage the daily integration of the aggregated delivery of all OS teams upstream into 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 found and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Tracking the utilization, health and allocation of the HW resources in the farm.
Balancing test coverage to HW availability through tracking CI load.
Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage

We are looking for a Data Engineer to join our Object Detection group and play a key role in managing and enabling data workflows that power our computer vision algorithms. Our team generates and processes large volumes of diverse data from multiple sources, and we need someone who can bridge the gap between raw data and algorithmic innovation.
Working alongside algorithm developers and researchers, you'll be responsible for building robust data pipelines, ensuring data quality, and making complex datasets accessible and actionable for our detection models.
This role requires both strong coding abilities and a deep understanding of data - you'll need to think like an engineer while understanding the unique needs of a research and development-focused algorithmic group.
What will your job look like:
Work on large-scale systems handling diverse data from multiple sources
Build and maintain robust data pipelines that enable algorithmic development
Evaluate various optional technologies and take part in decision-making
Own key features and services within the data infrastructure
Ensure data quality and accessibility for detection models and research needs
Work onsite in Jerusalem at least 3 days a week

Our group is at the forefront of developing the world's most advanced software technologies and hardware architectures for autonomous vehicles.
Our team is responsible for the development of a fully automated end to end validation solution.As we are part of the end-to-end autonomous vehicle flows, we get to see the direct outcome and value of our work in the most advanced use cases which are developed .
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

HW Engineering Platform Group is seeking a highly motivated experience Hardware Development Project Manager to drive and monitor the execution of hardware development projects, specifically focusing on SoC/HW Platform, through all development phases. The successful candidate will ensure projects are delivered on time and meet product-defined milestones and KPIs. This role requires strong communication, leadership, and project management skills, as well as the ability to collaborate effectively with cross-functional technical teams.
What will your job look like:
Manage various projects within the teams, ensuring alignment with strategic objectives and priorities.
Develop and maintain project plans, schedules, and budgets, tracking progress and ensuring adherence to timelines and milestones.
Identify and mitigate project risks and obstacles, proactively addressing issues to minimize impact on project timelines and deliverables.
Coordinate with cross-functional teams to define project scope, objectives, and deliverables.
Communicate project status, updates, and risks to stakeholders, providing regular reports and presentations as needed.
Foster collaboration and communication among team members, promoting a culture of transparency, accountability, and continuous improvement.
Drive and monitor the execution of hardware development projects (SoC/HW Platform) through all development phases.

we are looking for a Machine Learning Software Engineer, who will be challenged by bridging the gap between cutting-edge machine learning research and robust production deployment.
In this position, you will combine software engineering expertise with machine learning deployment knowledge, responsible for taking our algorithms and developing robust production solutions that serve them at scale.
The work at algorithms department is fast-paced and requires staying ahead of the curve with the latest engineering solutions and best practices adopted across the ML community, while staying informed about emerging solutions in both computer vision and NLP domains and understanding the specific problems they address.
What will your job look like:
Your role will include developing production deployment systems for classical and machine learning algorithms from research and building robust, scalable inference pipelines.
You will develop primarily in Python and infrastructure tools (Kubernetes, Docker, etc.), taking part in both maintaining existing deployment systems and developing new production capabilities.
Finally, you will need to learn and implement new deployment technologies and best practices that can address emerging production challenges as they arise, while staying current with the latest MLOps and inference optimization techniques.