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we are looking for a Senior Algorithm Developer.
Algorithm developers contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++.
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of 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.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

Automation TEST Developer (6086)
A leading technology company specializing in advanced software solutions integrated with hardware is looking for an experienced Automation TEST Developer to join our QA team.
This role involves leading automation development, building TEST infrastructures, designing TEST scenarios, analyzing results, and driving continuous quality improvements in complex, multidisciplinary environments.
Location: Haifa / Jerusalem / Beer Sheva
Responsibilities:
Develop, execute, and maintain automated tests for complex software systems
Define and write TEST scenarios based on system and development requirements
Build and sustain automation frameworks, tools, and testing infrastructures
Analyze defects, perform root-cause investigations, and enhance testing processes
Collaborate closely with development, system, and product teams
Participate in system integration, monitoring, and troubleshooting in both lab and field environments.

CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of 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.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

We are seeking an experienced Backend and Platform Engineer to join our Cloud-Compute Platform team. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, debug, and optimize complex systems operating at huge scale.
What your job will look like:
Design, build, and maintain high-throughput backend components that serve as the backbone of our mapping activity.
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Take a major part in technical design and decision-making, balancing performance, scalability, maintainability and cost-effectiveness.
Collaborate with other teams to improve platform integration, ensuring the system is both scalable and developer-friendly.
Elevate the team's technical bar through design reviews and mentoring junior engineers.

Were looking for a passionate and talented Software Engineer to join Software Engineering Group within the Algorithmic Department. Our team develops backend services and integrations that accelerate development, improve quality, and enable continuous delivery for all of algorithmic developers.
If youre an innovative, hands-on engineer who thrives on solving complex problems and wants to make a real impact - wed love to meet you.
Why this role is unique
As a Backend Python Developer, youll tackle diverse challenges across multiple domains, combining creativity with deep technical expertise. Youll explore and implement new technologies to define the infrastructure that powers algorithmic development ecosystem, while your work directly impacts developers across the company.
What your job will look like:
Lead high-scale development projects using Python in a dynamic backend environment
Design and implement microservices architectures, leveraging AWS services and multiple database technologies
Write clean, modular, and maintainable code that meets high engineering standards
Collaborate closely with algorithmic and software developers to integrate our services into their workflows
Develop and maintain backend services and integrations with internal and third-party tools, enabling smooth and efficient development processes
Work in an Agile environment as part of a scrum team
See your work directly accelerate the development of autonomous vehicles used by all Mobileye developers

We are looking for an experienced Senior Data Analyst to help us shape our strategy and processes by bringing data-driven recommendations.
In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.
A fantastic place to work. We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
Data-Driven Product Insights: Analyze product performance and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
Advanced Analytics: Lead the development and application of advanced analytical techniques to validate hypotheses and optimize business performance
Leadership & Collaboration: Guide, and mentor analysts in advanced methodologies, best practices, and data storytelling, collaborating cross-functionally with management, product, engineering, and marketing to drive data-informed decisions.
Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.

Were looking for a Senior Data Engineer to lead the architecture and development of large-scale, production-grade data pipelines supporting ML inference systems.
What will your job look like:
Architect and own end-to-end data pipelines for large-scale model inference
Design high-throughput, scalable data streaming to the cloud
Integrate data conversion into data collection and inference pipelines
Drive performance, scalability, and reliability across distributed systems
Partner with ML, platform, and infrastructure teams

We are looking for an ML Engineer / MLOps Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.
You will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle management-the foundation of our product.
Responsibilities:
Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:
Data wrangling - supporting and enabling data requirements for research, training, validation, and testing.
End-to-end ML delivery - enabling model performance development, training, validation, testing, and version control.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.
Build and support monitoring and observability tools - dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as:
Feature Store - centralizing feature engineering and serving across teams.
Vector Databases - enabling large-scale embedding storage and retrieval for advanced ML applications.
GPU Cluster Scaling - optimizing distributed training and inference infrastructure.
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.

We are looking for a Fullstack Team Leader who can rally a team behind a vision, build it efficiently, and have the foresight to help the company scale through software. This position is meant for those who want to be in the thick of things and make impactful decisions.
You will be building and maintaining our most sensitive systems and platforms that enable and empower our companys growth. Our system supports millions of requests per second and should be built to scale and high performance. In our data-driven environment, your team's planning and implementation has a crucial role in our ability to support our clients.
We are a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Design, code, and manage large scale, highly available, real-time (low latency) services using cutting edge technologies (Node.js, React, Redis, Kubernetes, etc. over AWS).
Lead and mentor a team of around 4 members, abroad, and performing code reviews to other team members.
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Manage a time-efficient sprint plan. Plan, groom and manage the present sprint and the upcoming ones with Product.
Understand and implement security and data protection needs, and assist in-house teams and supply creative solutions for various problems.

we are looking for a Senior Deep Learning Algorithm Developer.
Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

we are looking for a Senior Deep Learning Algorithm Developer.
the Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

Required Big Data Engineer Team Lead
We are an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platform is powered by machine learning and is constantly improving its distribution algorithms.
We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.
Our state-of-the-art machine learning technology analyzes 50TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power our machine learning predictions, business-critical metrics, and analytics to power our decision-making.
As a Big Data Team Lead, you will lead a team focused on building scalable, algorithm-heavy data products rather than owning the underlying data infrastructure.
Your team will be responsible for implementing complex business and optimization logic-often incorporating multiple algorithms using Peta-Byte scale data processing (primarily PySpark). A core part of the role is ensuring these data products are explainable, observable, and trusted by Data Science, BI, Product, and business stakeholders.
You will work closely with the Data Infrastructure TL, Data Science, BI, and Product to turn advanced logic into production-grade, transparent, and measurable systems.
Responsibilities:
Lead development of scalable, algorithm-heavy data products using PySpark and Implement and maintain complex, multi-stage data flows with multiple interacting algorithms.
Translate business and algorithmic requirements into clear, testable data logic. Ensuring explainability of outputs through intermediate artifacts, metadata, and documentation & Defining and monitoring; observability signals for data quality, algorithm health, and business impact.
Mentor engineers on reasoning about complex logic, edge cases, and failure modes.