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DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Overseeing the maintenance, repair, and continuous improvement of the organization's worldwide testing equipment, manufacturing equipment , facilities and infrastructure. Responsibilities:
* Define and execute the company equipment needs and technical requirements, for all the company sites at global perspective.
* Oversee maintenance of equipment, facilities, and infrastructure.
* Implement preventive and corrective maintenance plans.
* Lead maintenance teams and coordinate with external contractors.
* Plan and manage infrastructure upgrades and improvement projects.
* Manage maintenance, equipment and testing equipment budgets, procurement, and inventory.
* Ensure compliance with safety, environmental, and regulatory standards.
* Generate reports and track maintenance KPIs.
* Ensure 24/7 plant and facility operation

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility. We are seeking a skilled and driven Algorithm Team Lead to research, develop, and deploy state-of-the-art lidar based techniques that deliver world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems. ** This position requires on-site presence at our Jerusalem office one day per week.
What will your job look like:
As an Algorithm Team Lead, you will guide a team of talented developers to:
Design, develop, and implement lidar based algorithms in both C++ and python to solve complex problems
Collaborate with cross-functional teams to understand requirements and deliver robust solutions
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms for better performance and scalability.

we are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Our group is located in Haifa and is responsible for enabling the deep learning and computer vision algorithms on the company platform. The technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles contributing to saving lives and enabling autonomous vehicles. This is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the AI domain.
What will your job look like:
Shape our companys product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our company hardware and software
Develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models to our company HW and efficiency mimic the execution of the nets on the CPU
Develop software products that include design methodology and code quality techniques.
Work on open source projects such as LLVM, MLIR.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility. In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

we are looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of our company 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 our company 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.

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 our companys SW stack. The Platform OS team of we are 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 of our company 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 our companys 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.

our company Autonomous Driving software group in Haifa is looking for a Linux kernel developer who will be responsible for developing embedded SW products. This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies.
What will your job look like?
Researching, designing, and implementing new SW drivers and Operating System features, as well as, maintaining, and enhancing existing ones.
You will also be responsible for integrating the SW solutions in our company's Embedded automotive platforms including the necessary HW bring-up, debug and unit testing to achieve proper operation of the new SW and HW together.

our company's Autonomous Driving Software Group in looking for an experienced Linux Kernel & Security Developer to design and implement secure embedded software solutions. This is an exciting opportunity to work with highly talented engineers and contribute to cutting-edge security innovations in automotive technologies
What will your job look like?
You will research, design, and implement Linux kernel drivers and OS features, ensuring compliance with security best practices.
Maintain and enhance existing kernel components while mitigating potential vulnerabilities.
Integrate embedded software solutions in our company's automotive platforms, including HW bring-up, debugging, and unit testing.
Conduct threat modeling, penetration testing, and vulnerability assessments for Linux-based embedded systems.
Optimize memory management, I/O, networking, and storage security within the Linux kernel.

We are looking for a deep learning algorithm developer to join our growing team under our companys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Contribute to dataset curation activities - collecting, cleaning, labeling, and preparing multimodal data for training and validation.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Support validation of multimodal models - evaluating vision-language-action behavior and helping identify performance gaps across driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

We are looking for an exceptional deep learning algorithm developer with proven experience in LLMs/VLMs/VLA models to join our growing team under our copmpanys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Lead dataset curation strategy - designing scalable pipelines for multimodal data to drive high-quality training and validation.
Architect and optimize LLMs, VLMs, and VLA models - transforming scene understanding into reliable driving guidance.
Own the validation strategy - defining methodologies, metrics, and failure-analysis workflows for robust vision-language-action alignment.
Make an immediate impact by applying deep expertise to guide model design, methodology, and development priorities from day one.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Influence the technical direction of language-driven autonomy - contributing experience, shaping capabilities, and driving innovation to production.