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We are looking for a Validation & Analysis Project Manager to lead the design and implementation of validation infrastructure for Radar, LiDAR, and sensor fusion systems within the AV Sensing team.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Own the end-to-end validation process for autonomous sensing systems (Radar, LiDAR, and sensor fusion), from definition to execution
Build the validation infrastructure, methodologies, and workflows required to ensure system robustness and safety
Define validation strategy: test coverage, success metrics, and failsafe verification approaches
Translate product and system requirements into structured validation plans and measurable outcomes
Work in close collaboration with R&D, algorithms, system engineering, and product teams
Identify gaps in testability, observability, and lead solutions to address them
Establish scalable processes for validation, monitoring, and continuous improvement
Present insights, risks, and recommendations to stakeholders to drive decision-making.

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Project Manager to join its Core Systems Development team.
Role Description:
Manage and track the progress of software development projects from initiation to delivery
Coordinate and align activities across development, infrastructure, and implementation teams
Support testing processes and production releases (go-live)
Lead knowledge management and maintain comprehensive project documentation
Gather information and prepare responses for RFPs, tenders, and SOC audits
Ensure smooth communication between stakeholders and technical teams
Identify risks, resolve issues, and ensure timely project delivery

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Full Stack Developer to join its development team.
You will be responsible for building and enhancing a modern, scalable web platform using Angular on the frontend and C#/.NET on the backend, working with cutting-edge technologies and AI-assisted development tools.
Responsibilities:
Develop and maintain full stack web applications (Front End & Back End)
Build responsive UI components using Angular
Design and implement backend services using C# / .NET and Web API
Work with SQL Server for database design, queries, and optimization
Collaborate with product, QA, and R&D teams to deliver high-quality features
Participate in code reviews and ensure best practices in code quality and architecture
Integrate and utilize AI development tools to improve productivity and code quality
Support ongoing system enhancements and production maintenance

We are looking for a highly skilled Senior Thermal-Mechanical Engineer to join our mechanical engineering team as a key player in the development of next-generation high-performance compute platforms for autonomous driving systems.
This key position includes leading the thermal-mechanical design and cooling architecture of advanced electronic systems throughout all lifecycle stages-from concept to mass production-while working closely with hardware, PCB layout, mechanical, validation, manufacturing, suppliers, and customers.
What will your job look like?
Lead the thermal-mechanical design process from concept through validation, NPI, and production.
Define cooling architectures and optimize air- and liquid-cooling solutions for high-power electronic systems.
Perform thermal simulations and analyses using tools such as Icepak, FloTHERM, Fluent, or equivalent.
Perform mechanical simulations and analyses using tools such as ANSYS Mechanical, Abaqus, Nastran, or equivalent.
Correlate simulation results with lab measurements and drive solutions that meet system requirements.
Lead thermal validation, prototyping, environmental testing, and reliability activities.
Collaborate closely with cross-functional teams, suppliers, subcontractors, and customers.
Support mechanical design and serve as a technical focal point for complex thermal-mechanical challenges.

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

A deep-tech startup building real-time vision intelligence systems, is looking for a hands-on Embedded Hardware & System Integration Engineer to join its team and help develop advanced electro-optical systems for real-world applications.
This role is focused on hardware and system integration-not algorithms or optics. We are looking for someone who enjoys working with sensors, cameras, interfaces, suppliers, debugging, and bringing complex systems from concept to a reliable product.
Responsibilities:
Select and evaluate hardware components for electro-optical systems.
Analyze datasheets, ICDs, application notes, and technical specifications.
Work directly with suppliers on technical evaluations, integration requirements, and component selection.
Integrate cameras, sensors, and peripherals with embedded/edge computing platforms (e.g., NVIDIA Jetson).
Support hardware bring-up, system integration, testing, and debugging.
Troubleshoot issues related to hardware, power, communications, drivers, cabling, thermal performance, and system stability.
Define and execute component-level and system-level validation tests.
Maintain BOMs, wiring diagrams, integration documentation, and test procedures.
Support transition from prototype to production and field deployment.

A cutting-edge deep-tech startup is looking for a Senior Backend / Full-Stack Developer (backend-leaning) to join its core engineering team and help build advanced vision intelligence systems for early threat detection - including drones, boats, and other targets at the edge of visibility.
This role is ideal for someone who enjoys ownership, working across the stack, solving complex engineering challenges, and building meaningful real-world technology.
What youll do:
Own and build backend services in a distributed, event-driven system
Develop real-time data pipelines between edge devices and operator systems
Design and evolve core system architecture and data flows
Build and maintain features in Vue 3 + TypeScript when needed
Develop and scale a large, production-grade TypeScript codebase
Drive reliability, performance, and scalability in production systems
Work closely with product and engineering in a highly hands-on environment

We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Required Senior Data & ML Infrastructure Engineer
What will your job look like?
Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
Build tools for data exploration, manipulation, validation, and quality assessment.
Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across.