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Join our development team in Ra'anana (hybrid).
We build complex SAAS solutions for cyber, medical, and more, creating applications from scratch.

Your Day:
Handle the entire development cycle, from planning to delivery.
Solve problems and collaborate with our customers.

Send CV to our e-mail.

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).

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 C++ Software Engineer - Sensor Platform
The team is responsible for the software infrastructure surrounding Radar and LiDAR sensors and is part of our Algo Optimization group. We bridge the gap between cutting-edge sensor technologies and our proprietary hardware accelerators.
We build the core software foundation for perception algorithms, managing the end-to-end flow of sensor data ingestion, parsing, validation, and real-time optimization. Working at the intersection of software, firmware, and hardware, we play a critical role in bringing next-generation sensing capabilities to production vehicles.
What will your job look like:
Design and develop software integration and automation solutions that support our development and validation environments.
Build scalable infrastructure, tools, and frameworks that enable efficient software integration across multiple platforms.
Develop automation pipelines to improve software delivery, testing, deployment, and system reliability.
Analyze complex software systems, identify integration challenges, and drive performance and stability improvements.
Take ownership of system-level debugging, troubleshooting, and root-cause analysis across software components.
Collaborate closely with software, DevOps, infrastructure, validation, and system engineering teams to deliver robust end-to-end solutions.
Contribute to software architecture, integration strategy, and engineering best practices across the organization.
Continuously improve development workflows by introducing automation, monitoring, and infrastructure enhancements.

We are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments for requirement gathering and the correct integration of new features.