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We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.
Responsibilities
Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy.
End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment.
Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets.
Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack.
Full-time availability at our Tel Aviv HQ.

We're looking for a hands-on IT Specialist to join our fast-paced team. The role includes maintaining local and cloud infrastructure (including AWS and local training servers), supporting employees, and managing IT assets and systems.
Responsibilities
Provide technical support for employees (hardware, software, and network issues - onsite and remote).
Prepare laptops and accounts for new hires, including system access, email setup, and HID cards.
Monitor and support local servers, AWS infrastructure, and network equipment.
Maintain office equipment (printers, webcams, conference systems) and ensure meeting rooms function properly.
Handle security camera systems and server room alerts (e.g., temperature anomalies).
Track, document, and manage IT inventory across offices and storage locations.
Conduct basic security and IT onboarding training for employees.

Required AI Researcher - World Model
Description
Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.
Responsibilities:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.
You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.
This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.
Key Responsibilities
Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing

Required Product Manager - Storage Networking Platform
The Role
This is a rare opportunity to:
Have a direct impact on AI performance and GPU efficiency at scale
Combine deep technical thinking with product ownership
Own product decisions that influence real-world system behavior
As a Product Manager, you will define how next-generation AI workloads interact with high-performance storage and networking systems.
This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.
Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.
What You'll Do:
Define and execute product strategy for our platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges.

As Global Privacy & Compliance Counsel, you will serve as the in-house owner and go-to expert for all privacy and compliance matters.

This is a highly cross-functional role, working as part of the Legal & Compliance team, closely with Sales, Product, R&D, CS & Security teams.

The role is designed for someone who can operate independently, proactively identify gaps, extract and organize knowledge across teams, and translate complex privacy/data, compliance and regulatory requirements into practical solutions that support business execution and accelerate deals.

The position requires an in-house and business-oriented mindset, strong ownership, and the ability to lead initiatives end to end.

This role offers a unique opportunity to shape and lead privacy and compliance frameworks in a fast-growing global organization, with real impact on business outcomes, customer trust, and long-term scalability.

Key Responsibilities:
Own and manage the companys global privacy and compliance framework, including policies, templates, processes, and ongoing updates
Serve as an expert on all privacy/date compliance requirements, and regulatory framework
Review, draft, and negotiate privacy-related agreements with customers and vendors
Work closely with Product, R&D, Data, R&D, CS & Security teams to understand data flows and systems
Provide day-to-day privacy and regulatory compliance support to Sales and customer-facing teams
Enable faster deal execution by offering pragmatic, risk-aware solutions
Support negotiations with customers and partners on privacy and data protection topics
Drive the organization toward increased compliance maturity and long-term readiness
Build scalable processes that support growth while maintaining strong compliance standards