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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.

We are looking for a Software 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. A significant portion of the work is highly independent, meaning you will be expected to drive projects end-to-end, taking full ownership from understanding the initial problem and modeling the solution to executing and delivering it yourself.
What will your job look like:
Design, build, and write the underlying code for 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.

We are seeking a highly motivated and skilled Radar System Architect to join our team, focusing on automotive imaging radar systems. This role is pivotal in bridging the gap between our cutting-edge radar technology and our automotive customers' evolving needs. As the key technical focal point, you will lead customer engagements, manage system-level requirements, define system architecture in multiple domains and ensure successful integration and performance of our radar solutions in real-world automotive applications.
What will your job look like?
Define high level requirements for cutting-edge, automotive imaging radar
Design System architectures and flows for critical functions, such as power management, safety monitoring and security
Research and architecture for improving Radar KPI's and capabilities
Engage with customers, analyze and understand customer requirements
Work closely with SW, Algo, HW, VLSI and validation teams.

We are looking for a software engineer to build AI infrastructure that enables agentic workflows for DSP software development and legacy code maintenance.
The role focuses on developing code-aware AI systems that can reason about large embedded C/C++ codebases, particularly in DSP environments with custom instruction sets. You will design the infrastructure that allows AI agents to understand code structure, retrieve relevant context, analyze DSP kernels, and generate validated patches integrated into real development pipelines.
This is a unique opportunity to work at the intersection of agentic AI systems and real-world physical products, enabling AI-assisted development for complex embedded DSP software powering production hardware.
What will your job look like?
Build AI-driven developer infrastructure to support DSP software development workflows
Design code-aware retrieval systems combining structural program analysis with semantic search
Implement DSP-aware indexing pipelines that detect vector operations, loop kernels, accumulator flows, memory access patterns, and custom instruction usage
Design agent orchestration workflows for planning, code analysis, patch generation, and build/test validation loops
Integrate the AI system with build systems, compilers, and simulators to validate generated changes
Enable AI-assisted workflows for legacy code comprehension, dependency tracing, debugging, refactoring, and DSP kernel optimization.

A leading Real Estate Group, managing a robust and dynamic digital ecosystem is looking for an experienced Head of Digital Products.
Key Responsibilities:
Key Responsibilities:Strategy Vision: Drive the long-term digital product roadmap aligned with business growth goals.
Team Leadership: Manage and mentor Product and Content teams, establishing structured product methodologies.
Optimization data : Maximize revenue and engagement by improving UX, conversion funnels, and data -driven experimentation.
Innovation Trends: Identify and implement cutting-edge technologies and digital best practices.
Vendor Management: Oversee external development partners to ensure high-quality delivery and innovation.
Cross-Functional Collaboration: Partner with Marketing, IT, data, and Operations to deliver top-tier digital solutions.

Join our company, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
** This role requires working from our Jerusalem site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with our company's hardware and software capabilities.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

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 1-2 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.