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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.

Required Senior Software Engineer - IAM
The Role
We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led us to be named to American Bankers list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple - our nimble and collaborative culture lives in every member of our growing team.
Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team.
Who You Are
Our Software Engineering group handles the core software responsibilities, and as a Senior Software Engineer, you play a key role. You have a growth mindset: embracing ambiguity and seeking opportunities to challenge yourself and continuously grow your skills. This is a challenging role, so we expect you to have significant experience leading and developing complex and distributed engineering systems. We are looking for an individual contributor that enjoys mentoring teammates and working closely with users.
What Youll Actually Be Doing:
Design, implement, and manage IAM solutions
Collaborate with other IT and security teams to ensure seamless integration of IAM and app security solutions
Provide technical guidance and mentorship to junior IAM engineers.

Our Autonomous Driving Software Group in Jerusalem is looking for an experienced C++ developer to join our team!
Our group is responsible for developing new ethernet automotive switch architecture/tools and for the vehicle time domains using modern, scalable designs.
We enable support for new design wins and help scale our technology to run efficiently in vehicles, contributing to saving lives and enabling autonomous driving.
What will your job look like?
Take part in designing and developing large-scale network applications running on our cutting edge platforms which have our industry leading EyeQ chip.
You will work on a complex real-time system involving multiple sensors as part of a broader automotive system architecture.
The main application is developed in C++ for Linux environments.
You will develop advanced simulation software used company-wide, integrating our latest technologies.

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).