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Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities:
Create Front End solutions to deliver exceptional customer experiences.
Translate customer insights into mockups, wireframes, and proof-of-concept code
Lead a small team to solve complex programming and design issues
Contribute to project design and architecture and execute on web, mobile, and front end software development
Provides technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/ features, ultimately ensuring that high-quality solutions are delivered
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

we are seeking a Staff-level Senior AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.
Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how secures AI applications.
Responsibilities:
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within and externally through seminars, blogs, papers, and conference talks

You will be part of REM (Road Experience Management) department, which is responsible for the automatic High-Definition map-making process, which is a key technology in autonomous driving and high-end Driving Assistance systems.

Vision-based localization is a key enabler for utilizing and creating the maps. Our group is responsible for aligning the map with the world, and reporting detected changes during the drive. Our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time.
What will your job look like:
Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

we are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams at Mobileye.

We are seeking a skilled and driven Algorithm Team Lead to research, develop, and deploy state-of-the-art lidar based techniques that deliver world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
** This position requires on-site presence at our Jerusalem office one day per week.
What will your job look like:
As an Algorithm Team Lead, you will guide a team of talented developers to:
Design, develop, and implement lidar based algorithms in both C++ and python to solve complex problems
Collaborate with cross-functional teams to understand requirements and deliver robust solutions
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms for better performance and scalability

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

Which department will you join?
The AV sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors.
** This role requires working at our Ramat Gan offices at least 1 day per week.
What will your job look like:
Develop algorithms for processing and validating 3D sensor data
Build and maintain geometric libraries and tools for spatial data processing
Combine programming with classical algorithm development in Python
Work on problems involving 3D geometry, coordinate systems, and sensor calibration
Take ownership of algorithmic challenges from research to production implementation
Collaborate with other teams to integrate solutions into the broader system

Join the group that builds the foundation of Mobileyes perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

ourImaging Radar group is seeking a talented individual to join our team as a Automation Engineer & Integration Specialist.
This multifaceted role requires expertise in DevOps practices, integration technologies, release management, IT and lab support, as well as proficiency in developing automation solutions.
The ideal candidate will have a strong technical background coupled with a proactive mindset to drive efficiency and reliability across our systems and processes
What will your job look like:
Automate provisioning, configuration, and deployment processes to increase efficiency and scalability
Manage infrastructure as code using tools like Ansible, Kubernetes or similar technologies
Design, implement, and maintain CI/CD pipelines to automate software delivery processes
Collaborate with development and validation teams and troubleshoot integration issues
Coordinate software releases and deployments across development, testing, and production environments
Provide technical support for IT infrastructure, including servers, and developers workstations
Troubleshoot hardware-related issues

The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems

In this role, you will work closely with release managers, main bundle integration teams, validation groups, and various R&D units across the company to ensure the delivery of high-quality products. Our team is responsible for integrating algorithmic and software code into Mobileyes main repository, managing a range of gating tests, and delivering the technology content to the main bundle integration team.
What will your job look like:
Deliver versions of the technology out to the project integration
Work closely with development, release management, and validation teams
Define and write offline tests for all the various projects
Dig into source code and scenarios in order to identify, triage, and prioritize issues
Debug issues in Mobileye's production platforms where the root cause could span across multiple domains
Maintain and review overall stability and resource utilization (CPU, RAM, Flash) of the system

We develop the software architecture system and tools to enable state-of-the-art algorithms to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles.
Within the Compute Software group, we are responsible for all features above the operating system. This entails creating a diverse range of tools, libraries, and different work environments.
What will you do?
You will lead and develop various development tools, technologies and large-scale SW infrastructures for platform including simulators, data analysis, debugging tools and performance optimization tools.
You will get a deep understanding of HW architecture as well as end-to-end use cases and CV\DL algorithms.
You will work on different environments in the software stack including backend, middleware and frontend development.
You will consistently work and interact with multiple departments .
You will have a great chance to influence future generations of hardware and software stacks.

We are looking for a Cyber Security Architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
In this role, you will define security architecture for radar hardware, embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding mission-critical sensing technology.
Youll be part of a team shaping the future of autonomous driving. Our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. Youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale.
What will your job look like?
Security Architecture Design - Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
Threat Modeling & Risk Assessment (TARA) - Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
Secure Communication - Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
Secure Software Design - Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
Compliance & Standards - Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
Collaboration with R&D - Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
Incident Response Support - Provide architectural guidance during security incidents involving radar systems.
Technology Evaluation - Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.