לוח משרות דרושים מהנדסים בחיפה וסביבתה

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 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 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.

abra SAP department is seeking for an SAP MM Consultant We are looking for a skilled SAP MM Implementer to develop and implement SAP applications, lead enhancements, and support global business processes. This role requires strong SAP MM expertise, hands-on development skills, and the ability to work in a dynamic global environment. A full-time, hybrid position based in North Israel. ?Key Responsibilities:
* Develop and implement SAP enhancements and customizations based on business requirements.
* Prepare SRD/BRD documents and document processes in SAP tools (e.g., Solution Manager).
* Ensure system stability and handle ongoing production issues.
* Provide time estimates and perform unit testing for new developments.
* Support information security, authorization management, risk management, and compliance (including ISOX).
* Lead development tasks and new project implementations while meeting scope, timelines, and resource constraints.

As a Quality and Reliability (Q&R) Engineer, you will lead the qualification and long-term reliability of advanced System-on-Chip (SoC) and RF semiconductor products for automotive applications. Youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
What will your job look like:
Define and manage Quality and Reliability specifications, simulations, and qualification plans for SoC and RF die and package.
Plan and execute automotive-grade qualifications per standards such as AEC-Q100, JEDEC JESD22, and IATF 16949.
Design and implement die-level and package-level stress tests.
Select and prepare electrical, environmental, and mechanical test platforms for reliability testing.
Define requirements for Pre-Si Q&R (e.g. ESD, LU, EM, IR drop), Design-for-Test (DFT), electrical characterization, and Post-Si Q&R testing of digital, mixed-signal and RF SoCs.
Collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (OSATs).
Lead failure analysis, reliability modeling, and corrective action processes (e.g., 8D, FMEA, FMEDA).
Document and certify automotive standards compliance, including PPAP/APQP deliverables.

We are looking for an experienced Automation Engineer to join our dynamic engineering team. This role is ideal for someone with a solid background in automation development, who thrives in an agile environment and is passionate about continuous learning and collaboration.
What will your job look like:
Design, develop, debug, and maintain automation solutions using Python and Airflow
Integrate and monitor workflows using Grafana for observability and alerting
Work with Visa protocol (or similar) for secure data exchange and communication
Collaborate cross-functionally with developers, product managers, and QA teams to deliver high-quality automated systems
Troubleshoot, debug, and optimize automation pipelines for performance and reliability
Contribute to architectural decisions and improvements in automation frameworks and tools
Maintain clear documentation and knowledge sharing with team members.

Which department will you join? The SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You will manage a team of 5 engineers
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

The company Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific. The team is developing the Boot and Operating System SW for our companys autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.