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we are looking for a Software Engineer - Verification and Reliability.
In this role as a SDET (Software Development Engineer in Test), you are a developer first. You will join a high-impact team of engineers who write production-grade code to build a massive-scale validation ecosystem. Your job is to act as "The Breaker"-designing the infrastructure, chaos experiments, and AI-driven tools that push our platform to its theoretical limits.
What Youll Build:
Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain Perception, Navigation and Planning stack software.
Port python algorithms to high quality, safe optimal C code.
Handle memory and runtime sensitive environment.

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 are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

Responsibilities
Manually tag objects in images with high accuracy and consistency.
Review and verify the accuracy of tagged data, making corrections as needed.
Work with predefined tagging guidelines and contribute to their improvement.
Collaborate with the machine learning team to understand tagging requirements and deliver datasets that meet project specifications.

Working on-site (office located in Tel Aviv).
Salary: 9,100 gross per month (50/hour, full-time), plus full social benefits, travel reimbursement, a 1,100 monthly meal card, and private health insurance after 3 months.

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment. This role sits at the intersection of applied research and deployment. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions. A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.

Responsibilities:
Own the research-to-deployment cycle for driving models - from literature review and prototyping through to production integration.
Design, implement, and iterate on real-time predictive models, including vision-language-action (VLA) models.
Collaborate on reasoning systems, contributing to VLA models that handle planning across varied horizons.
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms.
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack.
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar.

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.

What Youll Do:
Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy and own E2E Cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven you will have an analytical aspect in measuring your modules both business and performance-wise.
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship.
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

We are looking for a passionate Senior Data Scientist to join our all-star team. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment. If you are experienced but still hungry to learn and impact - wed love to have you on our team!

What Youll Do:
Devise, initiate, manage and execute cutting-edge exploration and exploitation projects.
Apply your knowledge of Data Science, Machine Learning and AI-driven algorithms to create scalable data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and develop automated, intelligent systems to address them.
Design, build and deploy AI/ML models (including predictive models, recommendation systems and generative AI solutions) to drive business impact.
Leverage modern AI tools and frameworks to accelerate research and production workflows.
Proactively seek growth opportunities aligned with core KPIs.
Enable real-time and near real-time data insights - instant data gratification guaranteed.

We're looking for the person who owns our relationship with the programmatic ecosystem. You'll open new supply, negotiate the terms we trade under, run strategic technical partnerships with the biggest exchanges, decide which vendors are worth integrating with, and set the risk and compliance posture that lets our growth teams move fast without blowing up.

This is a hybrid seat: half commercial (deals, partnerships, vendor strategy), half technical leadership (integrations, compliance systems, ad quality, supply quality). You'll report to the CTO and you'll build out the programmatic team.

If you've spent years as a senior programmatic operator at a DSP, exchange, or large advertiser, and you want a seat where the levers are real and the decisions stick, this is it.


What Youll Do:
Your main KPI is to grow our programmatic annual spend by hundreds of millions. Concretely, that means:
Scale our foothold in the ecosystem. Open new exchanges and SSPs, negotiate commercial terms and rebates with supply partners. Work with existing exchanges like Google and AppLovin on strategic technical joint ventures that go beyond "we're a buyer on your platform."
Find opportunities in our bidding. Work with Engineering and Data Science to leverage signals in the RTB stream. Turn auction-level observations into action: supply paths worth consolidating, deal opportunities that only the bid data surfaces, margin and fee dynamics worth pushing on, and inventory pockets where we should bid more or less aggressively. Your judgment plus the data team's signal is the loop that drives spend up and effective CPMs down.
Own risk, compliance, and the guardrails that let the business move fast. Be the focal point of compliance knowledge inside us. Partner with Legal on matters like GDPR, CMPs, and our broader legal exposure. Work with partner compliance teams to align. Create and manage risk models and workflows that let growth and trading teams take bigger swings safely.
Research new fields in the AdTech stack. Scout adjacent categories worth playing in: data enrichment, identity solutions, measurement and attribution, contextual signals, clean rooms, curation, retail media, fraud and verification, AI signal providers.
Build and lead the programmatic team. Manage direct team members and cross-functional efforts. Propose and hire the next roles, coach the team, raise the bar.
Be the senior face of us in the programmatic ecosystem: exchange QBRs, partner escalations, conferences, and the calls that need a leader in the seat.

We are seeking a Senior rt Embedded Developer We are looking for a skilled Senior rt Embedded Developer to design and implement software solutions for Embedded systems, with expertise in C / C ++ development in VxWorks and Linux environments. This role requires strong hands-on experience in Real-Time Embedded development, software design, hardware integration, and working with complex multidisciplinary systems.
A full-time on-site position based in the Rehovot / Ness Ziona area, Israel.
Key Responsibilities:
* Develop software for Real-Time Embedded systems in VxWorks and Linux environments.
* Develop interfaces with various system components and support complex integrations.
* Analyze, implement, and document software solutions according to system engineering requirements.
* Participate in all stages of the development lifecycle, from maintaining existing C code to developing new modules.
* Work closely with multiple disciplines across the organization and develop application software that interfaces with hardware.

We're looking for someone who lives at the seam between AdTech operations and engineering. You'll be our eyes and hands on the supply side, watching exchanges for signal, spotting issues before partners notice them, and turning what you see into AI-assisted systems that scale. You'll be the technical face of us to exchanges and clients, and you'll work shoulder-to-shoulder with Engineering and Data Science to ship the tools you need.

This role suits someone who is equally comfortable reading a network waterfall in DevTools, writing a Python and SQL script and shipping small apps with Claude\Cursor, and walking a partner through an integration issue on a call.

What you'll do:
Build AI systems. Design and ship AI Agents that monitors supply, watches integrations, and runs compliance and creative review at scale. This is the core of the role: turning what you see into systems that work while you sleep.
Monitor exchange supply for anomalies, signal, and revenue opportunities: pricing shifts, new inventory, traffic-quality changes, integration regressions.
Own ad quality. Track critical rendering, viewability, latency, and creative-integrity metrics across our buying surface; triage and drive fixes when something breaks.
Hunt commercial upside. When you spot something interesting in the data (a misconfigured deal, an underpriced supply path, a new format taking off, a partner leaving money on the table), turn it into a business action. We expect this role to pay for itself many times over.
Be the technical POC to exchanges and clients (Google, AppLovin, and others). Own integration health, debug protocol-level issues, translate between their stack and ours, and represent us in technical conversations.
Partner with Engineering and Data Science. Surface what you see in the wild into requirements, dashboards, and models; co-build the internal tools you'll use.

As part of your role, you will design the architecture, develop, and deploy a new consumer-facing product from the ground up. This role uniquely blends deep low-level R&D with the challenges of performance optimization at a large-scale. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but still hungry to learn and impact - wed love to have you on our team!

Design, build, and maintain the core modules of a cutting-edge consumer-facing product, poised to compete at the highest level with the worlds leading tech companies.
End to end research and development of complex low-level features as part of a large scale project built by a small team.
Plunge into a world of data, analytics, and ML.
Work closely with data scientists and developers to understand the business from top-to-bottom.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

The role involves developing advanced CRM solutions for enterprise clients, participating in complex implementation projects, and delivering scalable, high-quality systems aligned with business needs. Responsibilities
* Design and develop custom solutions on Microsoft Dynamics 365 / CRM
* Develop PCF Controls and client-side components using JavaScript / TypeScript
* Implement plugins and custom workflows using C # /.NET
* Build and maintain integrations with external systems using Web API / REST / OData
* Work within Managed Solutions environments
* Take part in large-scale, complex CRM implementation projects
* Collaborate with cross-functional teams to translate business needs into technical solutions
* Utilize Azure services such as Functions, Logic Apps, and Service Bus
* Manage code and deployments using Azure DevOps and Git