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. Ideal candidate: You'll thrive in this role if you enjoy working at the intersection of software engineering and algorithms, are comfortable reasoning about 3D geometry and coordinate systems, and have strong software development skills in Linux environments. ** This role requires working at our Ramat Gan offices at least 1 day per week.
What will your job look like:
Work with geometric and spatial data from automotive sensors - designing scalable data workflows, Python libraries, and algorithmic solutions for 3D sensor data processing
Build robust data validation and monitoring systems that understand spatial relationships
Build and maintain development infrastructure: dashboards, databases, CI/CD pipelines, automated documentation.

Were looking for a SENIOR C++/PYTHON Tech Lead to help build and evolve our high-performance, scalable software systems. In this role, youll own major development efforts in a Linux-based environment, modernize existing codebases, and contribute to a robust platform used in demanding environments.
Youll be part of an engineering team that thrives on ownership, clarity in architecture, and tight-knit collaboration to ship high-quality software at scale
Responsibilities:
Design and implement efficient, production-ready C++ applications on Linux
Translate use cases and requirements into scalable, high-quality code
Refactor and modernize legacy codebases for better maintainability and performance
Identify and resolve bottlenecks across the stack using tools like eBPF
Collaborate cross-functionally with infrastructure, QA, and product teams
Ensure system quality via automated testing and CI/CD best practices
Participate in code reviews, design discussions, and mentoring.

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientista creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

Requiredc Platform Engineer
Description
We're building a new Engineering Platform team designed to accelerate every business and engineering function.
As a senior Platform Engineer, you will design and build cloud infrastructure, internal developer services, AI powered automations and more to make our teams faster, autonomous and more productive.
Responsibilities
Build and evolve platform services that improve developer experience (devEx), reliability and engineering productivity while being secured.
Develop AI-driven tools and automation: internal agents, workflow orchestrators, intelligent integrations and internal assistants based on AWS infrastructure.
Integrate platform components with .NET and Python services running on AWS.
Own core cloud infrastructure using automation and Infrastructure-as-Code (Terraform/CloudFormation).
Deliver scalable, secure, and cost-efficient cloud solutions across multiple domains.
Create self-service capabilities that allow product and engineering teams to move independently.
Partner with security, DBA, DevOps, product and business stakeholders to build cross-organizational solutions.
Establish reusable templates, engineering best practices, and inner-source contribution models.

Required Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team of AI scientists, accountable for creating AI solutions in the fintech industry, who assist in evaluating the risk of lending products.
Responsibilities
Provides guidance and support leadership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research.