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We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

We are seeking a highly motivated and experienced Chief system Engineer to join our team and lead the development of sophisticated solutions that push the boundaries of flight.

We are seeking a versatile Tech Lead to join our team responsible for designing and developing next-generation video analytics products leveraging advanced Vision-Language Models (VLM) and Large Language Models (LLM).
Responsibilities
Lead the design and development of scalable, high-performance video analytics solutions using Python and C++
Research and implement hardware-accelerated video processing techniques
Optimize inference of Large Language Models, performance and memory usage
Collaborate closely with Research teams on model training, benchmarking, and selection
Ensure cross-platform integration of core technologies.
Mentor team members and contribute to architectural decisions.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

we are looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. our company office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages.
As a Machine Learning Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists and quantitative researchers. Your team will work closely to solve challenging technical problems and contribute to our full tech stack, from hardware and software development to grid computing. You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility. We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.
How you will make an impact:
Build infrastructure for running Machine Learning algorithms on big data.
Optimize Machine Learning algorithms to run under latency constraints.
Parallelize Machine Learning algorithms to run on a parallel compute grid.
Build software for data acquisition and cleaning that can handle hundreds of terabytes of data.
Build data visualization tools for feature exploration and model verification.
Integrate Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements.
Contribute to technological innovation through exploration of cutting-edge hardware, software, and methods.
As an active member of the research team you will have an impact on the technological direction and the analysis of trade-offs between complexity and performance.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
As a core member of the Professional Services team, you will
Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
Deliver customer classroom-based training to architect, developer and operations roles
Work as part of a wider delivery team comprising fellow consulting engineers, project managers and account teams
Cultivate your individual reputation as a trusted advisor to guide and our customers into the future
Partner with Product and Engineering teams to influence the direction of the product roadmap

As an Enterprise Professional Services Engineer, you are the technical architect and relationship lead for our most strategic global accounts. You own the technical success of the customer journey, focusing on Solution Design and the Integration Strategy required to make our company the heart of a modern IT stack.
This is a high-impact role for a consultant-engineer hybrid. You will be expected to leverage deep API architecture knowledge, advanced scripting, and creative problem-solving to design bespoke solutions that bridge the gap between our company and complex enterprise ecosystems. You are the "Bridge" between business requirements and technical reality.
Key Responsibilities
Integration Design & Scripting Excellence
Architect Integration Solutions: Lead the technical design of complex integrations using REST APIs and webhooks to seamlessly connect our company with enterprise stacks such as ServiceNow, Salesforce, Okta, and Azure.
Advanced Automation Scripting: Utilize PowerShell and Python to automate complex IT workflows, data migrations, and system synchronizations tailored to enterprise security and compliance standards.
Technical Strategy: Design end-to-end migration paths for Enterprise customers, moving them from legacy infrastructure to a modern, AI-first our company environment.
AI-Driven Workflows: Design and implement AI-driven automation logic that reduces manual overhead and optimizes operational efficiency for global IT teams.
Relationship & Project Leadership
Lead the Relationship: Serve as the primary technical point of contact, managing stakeholder expectations and translating high-level business goals into technical solution blueprints.
Project Execution: Own the full project lifecycle from a leadership perspective-ensuring on-time delivery, technical validation, and a "white-glove" customer experience.
Global Travel: Travel abroad up to 25% of the time to conduct on-site architectural workshops, lead high-stakes deployments, and build face-to-face rapport with strategic partners.
Communication
English - High proficiency: You must be able to present complex technical architectures to C-suite stakeholders with clarity, authority, and professional polish.
Solution Documentation: Produce high-quality architectural diagrams, technical implementation guides, and API mapping documentation.

We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.
Key responsibilities
Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

we are looking for a DevOps Software Engineer.
As a DevOps Software Engineer , you won't just be maintaining systems; you'll be a key player in enabling the future of retail. Your work will directly impact how smoothly our stores operate worldwide. Imagine deploying software updates that instantly improve the shopping experience for thousands of customers. You'll be part of a collaborative team, working on challenging problems like:
Developing solutions that allow to efficiently and rapidly deploy to numerous stores globally. (We're constantly expanding!)
Ensuring our edge and cloud infrastructure is robust and reliable, handling the real-time data from our AI systems.
Troubleshooting complex issues across our distributed systems, working closely with software and operations teams.
Your contributions will directly support growth and success, and you'll have the opportunity to see your work make a tangible impact..
Our tech stack includes (but not limited to): Go, Python, Rust, Terraform, Ansible, Helm, GCP, Azure, Kubernetes, ArgoCD, Octopus Deploy, Github Actions.

we are looking for a Site Reliability Engineer.
Role Responsibilities:
Write high-quality infrastructure-as-code that automates the provisioning, deployment, scaling, and monitoring of infrastructure to ensure that it is reliable and performant
Write maintainable code for product functionality with a primary emphasis on operations, scale, resiliency, and monitoring
Work with other engineers to ensure that new services are well-designed, properly monitored and have well-defined SLIs and achievable SLOs
Debug production issues, learn to mitigate them quickly, and find ways to prevent them
Maintain runbooks for manual tasks and replace those runbooks with automation whenever possible
Proactively track our capacity, quotas, and other performance limits to plan for growth
Participate in a 24x7 on-call rotation to handle product availability issues as well as urgent customer support escalations

Were building agentic AI for real-world CX. As an AI Engineer at our company, youll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.
What youll do
Design, build, and maintain real-time AI-powered APIs and services in Python.
Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
Develop agentic logic and reasoning pipelines for conversational and task-based automation.
Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
Ensure high performance, reliability, and data security across production workloads.
Deploy and manage applications on modern cloud environments (AWS / GCP)
Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

Join our company as a Senior Full Stack Engineer and help architect our Agentic AI System. Youll be responsible for building the entire lifecycle of our product-from high-performance Node.js services on AWS to polished, real-time React experiences that make AI feel human.
In this role, you will bridge the gap between complex AI logic and intuitive user interfaces. Youll have a seat at the table to influence our technical foundation, backend architecture, and product direction as we scale AI-native customer experiences to millions of SMBs.
What youll do
End-to-End Ownership: Build and maintain scalable, performant web and mobile applications using React, TypeScript, and Node.js.
Architect for Scale: Design and implement robust backend services and APIs on AWS to support real-time, agent-driven features.
AI Integration: Collaborate with AI engineers to integrate sophisticated LLM orchestrations and live customer interactions into a seamless product experience.
Foundation Building: Shape the architecture, standards, and CI/CD pipelines of our companys full-stack systems.
Product Craftsmanship: Partner with product and design to craft highly polished, intuitive, and delightful user experiences from the database to the UI.
Technical Leadership: Champion best practices in system design, performance, security, and code quality.

We are seeking a highly motivated and experienced Senior Networking Engineer to join our rapidly growing team.
It is a rare opportunity to join a group of experts and master skills in all aspects Networking, developing a state of the art products. You will collaborate with HW and the VLSI teams.