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We're looking for an exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
*Hybrid position.
Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

Our EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects\designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf.

We are seeking a skilled Failure Analysis (FA) Engineer with expertise in X-ray inspection techniques to join our AV Platform team. The ideal candidate will specialize in using advanced X-ray imaging and other analysis methods to investigate product failures, identify root causes, and provide actionable insights to improve product quality and reliability
What will your job look like?
Perform detailed failure analysis using X-ray imaging systems and related diagnostic tools to inspect electronic components, assemblies, and materials.
Interpret and analyze X-ray images to detect structural anomalies, defects, voids, cracks, delamination, and other failure mechanisms.
Develop and optimize X-ray inspection procedures and protocols for failure analysis and quality control.
Prepare test specimens: cutting, mounting, grinding, polishing and chemical etching
Collaborate with product engineering, quality assurance, and manufacturing teams to support product development, troubleshooting, and continuous improvement efforts.
Prepare detailed technical reports documenting findings, root cause analyses, and recommended corrective actions.
Support reliability testing and failure mode analysis for new and existing products.

Were looking for a Data Engineer who takes full ownership, works independently, and delivers results with speed and precision.
You are a fast learner who quickly adapts to new tools and concepts, communicates clearly across teams, and documents your work effectively. You pay attention to details, stay organized, and are committed to getting things done with continuous improvement.
Responsibilities
Design, implement, and maintain robust data pipelines to process and manage large-scale datasets, including auto-tagging for expanding training and validation data.
Develop intelligent search and filtering techniques and utilities to query relevant data and expedite data discovery.
Identify impactful driving scenarios across large datasets, enrich them into diverse, high-quality datasets for development usage.
Leverage NN models to support automatic labelling processes and data mining.
Create or customize data annotations tools, integrating automated quality assurance and auto-tagging algorithms to make data pipelines more efficient.
Design and manage processes for synthetic data generation.
Data processes documentation and communicates progress to stakeholders.

we are a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.
At our company, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.
we are backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.
Responsibilities
The Data engineer is responsible for the definition of the data ecosystem used by the object detection team our company .
Overseeing the companys data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company.
Establish and implement an effective process for data management, and build a strong team of data annotation specialists.
Data team management: group management, monitoring data tasks, monitoring of the work pace and improving processes to ensure efficient processes
Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up.
Provide Data for training deep learning networks.
Collect and analyze data for the effectiveness of the projects, using scripts, python queries, and building dashboards
Test new annotation tools and improve existing ones, validate the quality of the annotated data.

As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Our Automated Driving group in Haifa is looking for an experienced SoC Design Engineer for DFT team.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting edge technologies - Autonomous Vehicle (AV) SoC.
At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
You'll be responsible of architecture of the DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more)
Develop all the necessary HW / FW / SW for the different modules
Verify and Validate our design
Debug and analyze coverage and yield loss
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts as it required by the Automotive and Safety related products market (ISO26262).

We are seeking a hands-on Director of Embedded Systems to lead the strategy, execution, and customer engagement for our embedded platforms in advanced automotive perception. Reporting directly to the VP R&D, you will manage the Embedded Software Team Lead (5 engineers) and the Software Architect, while also engaging closely with Tier-1/OEM customers and silicon vendors.
This role combines deep technical ownership, strong leadership, and customer-facing responsibilities in a fast-paced startup environment.
Responsibilities
Leadership & Team Growth
Lead the Embedded Software Team Lead and Software Architect, ensuring alignment between architecture, implementation, and delivery.
Set priorities, allocate resources, and oversee execution across embedded software development.
Act as the escalation point for complex technical or organizational challenges.
Build a high-performance, accountable, and collaborative culture.
Prepare for future team growth as the company scales.
Technical Ownership
Remain hands-on with design reviews, architecture decisions, and technical discussions.
Own the end-to-end embedded software vision for perception systems, balancing scalability, real-time performance, and safety.
Oversee architecture across heterogeneous compute platforms (CPUs, GPUs, NPUs, MCUs).
Ensure best practices in coding, reviews, testing, and integration in real-time, safety-critical environments.
Coordinate with 3rd-party partners on middleware, BSP, OS abstraction, and low-level drivers, with the ability to read and challenge design documentation.
Customer & Partner Engagement
Spend ~50% of your time outbound: lead technical discussions with Tier-1/OEM customers, support escalations, and represent embedded systems in workshops.
Manage relationships with silicon vendors (e.g., TI, NVIDIA, Qualcomm, Renesas), staying aligned with their roadmaps.
Ensure embedded deliverables are integrated smoothly with broader system needs in perception, hardware, and validation.
Standards & Compliance
Own compliance with ASPICE, AUTOSAR, ISO 26262 (Functional Safety), and ISO/SAE 21434 (Cybersecurity).
Lead audits, reviews, DFMEA/DFA processes, and quality gates.
Define and enforce engineering processes and metrics across the embedded team.
Innovation & Roadmap
Track industry trends in embedded systems, AI acceleration, and automotive perception.
Shape the long-term roadmap for embedded platforms in collaboration with executives.
Evaluate and adopt new tools, frameworks, and hardware accelerators to enhance performance and safety.

Our 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 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 seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

We're looking for an Experienced CAD or Design Automation Engineer to develop our RF/Analog design tools/flows and automation flows for the next-generation Imaging Radar chips.
What will your job look like:
Build and support RF/analog design environments
Implement, develop, and maintain design flows, tools and scripts.
Evaluate and explore new automation technologies and advocate for efficiency improvements
Evaluate multiple vendor solutions and guide execution, in the most optimal use, based on design needs
Effectively communicate and support a large number of designers, providing high-quality tools and flows, documentation, and presentations.

Senior Simulation Engineer L4 Group
our company, your number one vendor of autonomous driving software, is looking for a die-hard Simulation Engineer ready to take on a Manhattan-scale project under a tight schedule. If you're passionate about high-impact simulation infrastructure and thrive in fast-paced, innovative environments, we want to talk to you.
Responsibilities
Design and build scalable simulation infrastructure for testing autonomous driving systems
Collaborate closely with algorithm teams to create realistic and efficient simulation environments
Lead architectural decisions and own the design of core components
Tackle complex backend and cloud-native challenges from day one
Implement a CI/CD infrastructure to support slick and efficient versioning of all stack submodules from different AB teams
Integrate an external closed-loops simulation solution with our autonomous driving stack, work closely with external vendors.
Coordinate between Algo SW and Infra teams to provide fast scalable and consistent solutions.

We are seeking an Experienced Backend to join our growing Physical Design team. In this role, you will play a key part in the design of state-of-the-art SoCs, from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner from RTL to GDS.
Floorplan exploration with guidance and collaboration with front-end and architecture teams.
STA: work with FE and floor planner to manage block and top level constraints and 1st level of timing analysis.
Synthesis exploration and final synthesis netlist: Scan insertion @ synthesis, clean checks from Lint, UPF & Spyglass.
Place & Route: from Synthesis netlist to final layout and signoff verification with target to achieve best power performance and area.
Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.