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we are looking for an experienced manager with networking expertise to lead a system testing and integration team in Cloud Solutions group. This team is responsible for the testing, integration, and delivery of most sophisticated company`s products under growing generative AI market.
What you'll be doing:
Lead pioneering technology qualification processes
Design and test our company large scale setups, that mimic Tire I customers data centers work loads
Review arch design and requirements for new features introduced in the whole Ethernet/InfiniBand switches and network adaptors portfolio
Design and build setup topologies for an appropriate product coverage with an emphasis on emulation of customer large scale / complex environments
Design, mentorship for testing automation team, and implement tests for the new features, as part of growing our company data center switches and network adaptors portfolio with its software releases cycles
Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team
Execute End-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the testing progress and provide summary reports of testing activity.

We are looking for a python developer who is passionate about software design, code quality and problem solving. This versatile role involves writing production-grade python code that will integrate with 3rd party devices and services to collect data that will be used by our AI platform.

Responsibilities
Design and deliver production-grade, high-quality and robust code.
Research a wide range of software and network devices to find the best data collection solutions.
Collaborate with customers to resolve issues and expand Dreams collection portfolio.
Prioritize collection capabilities together with our product team based on customers needs and define milestones.
Work effectively within a team, contributing to a collaborative and innovative development environment.

As our Cloud Infrastructure Engineer, you will help tackle some of our upcoming challenges, such as:
Manage our Kubernetes clusters, and optimize our services for performance.
Integrate tools for observability, monitoring, security and scale.
Secure and scale Kafka clusters on top of Kubernetes.
Collaborate with development and security teams to improve our system infrastructure and compliance.
Optimize and reduce cloud resources costs.
Develop dashboards, alerts, internal tools and response processes to identify and address security and reliability risks.
Our tech-stack: Scala, Python, AWS, Kubernetes, Nginx, ELK, Prometheus, Grafana, Kafka, MongoDB, PostgreSQL, Redis, Jenkins and more!

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.

the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.
Our main Engineering challenges at Teads
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
What will you do?
Design and develop innovative, high-performance products using HTML, CSS, TypeScript, and Vanilla JavaScript, leveraging modern technologies to create engaging experiences for a global audience.
Build exciting products and interfaces with a worldwide impact.
Test, monitor, and collect actionable insights to improve the performance and functionality of your developments.
Knowledge of server-side languages is advantageous. Were developing scalable, extensible, and robust server-side APIs using Java or Node.js.
Work within a Microservices CI/CD environment to ensure smooth deployment and operation.

We are seeking an experienced Java Software Developer to join our Core application Team. As a Java Software Developer, you will be responsible for designing, developing, and maintaining a software application that works with large scale systems that serve enterprises. The ideal candidate will have a deep understanding of Java and Big Data technologies and the ability to work in a fast-paced, dynamic environment.
**Working in a hybrid model! ( two days from the office, three days from home**
Responsibilties:
Design, develop, troubleshoot, and maintain high-availability systems using Java.
Optimize existing services to be enterprise-grade and scalable, ensuring they meet the demands of high-volume usage.
Write high-quality, maintainable code and ensure that code is thoroughly tested and debugged.
Participate in code reviews and ensure that all code meets the standards set by the team.
Mentor other developers and provide guidance and support as needed.

Join our company's VirtIO team and contribute to our QA group, ensuring our products meet the highest standards of efficiency and quality. This is an outstanding opportunity to work with brand-new DPU software features in a collaborative and cutting-edge environment.
What you'll be doing:
Review architecture designs and requirements for new features
Identify and report bugs, assist in reproduction and root cause analysis, and verify fixes from the R&D team
Automate new test cases using the existing automation framework and expand its capabilities
Develop and improve tools, processes, or applications to enhance testing efficiency and product quality.

We are seeking an exceptional, versatile strategy Director to lead our most complex and business-critical opportunities. Reporting to the Chief of Staff, youll act as an owner-operator jumping into ambiguous challenges, designing solutions, and driving outcomes that accelerate growth. Whether its unlocking new markets, creating commercial strategies for new product lines, or scaling operational infrastructure, youll own high-impact initiatives from zero to one.

Key Responsibilities:

Drive end-to-end execution of high-impact initiatives from problem definition through implementation. Build clear project plans, coordinate stakeholders, and deliver measurable outcomes.
Go deep into high-impact strategic challenges such as unlocking new markets, expanding within existing ones, or commercializing new product lines.
Own the analytics behind the initiative you're leading in collaboration with finance, product, and go-to-market teams (e.g. market sizing, policy analysis, forecasting, and pricing)
Break down highly complex, ambiguous business problems into structured components. Develop clear, actionable recommendations and lead the business through solution design and decision-making.
Define success upfront. Establish and track KPIs and OKRs that are tied to the specific problem at hand. Build tools and processes to monitor progress and drive accountability.
Operate as the owner of your initiative driving it from strategy to execution with tight coordination, structured communication, and clear deliverables.

our company Networking business unit is looking for Lab practical engineer for IC product engineering group, who will work in our company R&D labs in Yokneam. As an IC test practical engineer candidate will be performing various types of testing of our company/Mellanox ICs on ATE, evaluation boards and reliability platforms, as part of design and production validation, IC characterization and reliability activities. This job allows you to work in a complex, exciting engineering environment handling challenging IC testing activities.
What youll be doing:
One responsibility of this position will be handling various types of testing of our company ICs.
Perform IC testing in order to produce reliable and precise data to support IC devices analysis.
Maintaining and operating laboratory equipment such as IC evaluation systems, HTOL system, Scopes, DVMs and another tooling.
Reading Schematics of electronic circuits.
Support all related activities such as IQC, OQC, IC Inventory managing and shipments.
Carrying out Q&R tasks and following strict execution methodologies.
Following and ensuring strict safety procedures and safety checks.

Were looking for a Senior Backend Engineer - Data Infrastructure to design and optimize high-performance infrastructure capable of handling massive data volumes. In this role, youll lead backend development, architect scalable data pipelines, and ensure seamless data processing. Your expertise in distributed systems and performance optimization will drive innovation, transforming intricate security challenges into efficient, resilient solutions.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.

About the opportunity
We are looking for a seasoned engineer who combines strong backend engineering expertise with proven experience in machine learning. You will play a critical role at the intersection of backend systems, data engineering, and ML infrastructure, building scalable platforms and algorithms that power our large-scale ML workflows. Your work will directly impact the performance, reliability, and scalability of our ML systems, from core infrastructure and model deployment to performance monitoring and KPI optimization.

What will you do?
Architect and implement efficient, scalable backend systems for high-performance ML workflows, data processing pipelines, and core infrastructure services.
Develop, adapt, and optimize ML algorithms, contributing to the platforms core ML capabilities and features.
Ensure all systems are tested, observable, and optimized, including automated unit, integration, and load testing for ML workloads.
Optimize infrastructure and algorithms for latency, throughput, and accuracy, tackling production-level challenges in distributed and GPU-enabled environments.
Collaborate closely with data scientists to implement core infrastructure features and integrate them into the ML platform.
Stay up-to-date with emerging ML frameworks, distributed systems technologies, and performance optimization techniques to maintain a cutting-edge platform.

Were looking for a Senior QA Engineer with a keen eye for detail and a passion for quality to join our QA Automation team and champion product quality through thoughtful testing and a strong sense of ownership. In this role, youll work closely with developers, product managers, and automation engineers to plan, execute, and continuously evolve our testing strategyensuring every feature we ship meets the highest standards.



Responsibilities
Own the end-to-end quality of features from planning through release.
Design and execute comprehensive test plans covering exploratory, functional, regression, and integration testing.
Advocate for quality early by actively participating in product and feature design discussions.
Identify edge cases and gaps by collaborating with developers and automation engineers.
Support automation efforts by validating coverage and assisting with test integration.
Report bugs clearly and constructively, and help triage issues across teams.
Contribute to QA documentation and share testing knowledge with the broader team.

we are seeking an innovative and experienced Senior Software Developer to join our team. This team is pioneering a new wave of application security solutions focused on identifying risks in AI-powered software. If you're passionate about software security, skilled in backend engineering, and intrigued by the intersection of AI/LLMs and security, we want you on our team.
The product scans application source code to detect embedded AI/ML models, libraries and framework, understand their behavior, and surface potential security risks; from data leakage to prompt injection vulnerabilities. This is a high-impact role that blends backend engineering with cutting-edge AI applications, helping organizations secure the next generation of software.
You're invited to meet the R&D team here!
**Work in a hybrid model: Two days from the office, three days from home**
Responsibilities:
Design and implement backend systems that scan source code, identify AI/ML components, and evaluate associated security risks.
Build intelligent detection logic to recognize large language models (LLMs), machine learning models, and custom pipelines in codebases.
Collaborate with security researchers, data scientists, and product managers to integrate AI risk models into our core platform.
Develop scalable and maintainable services in Java and Go.
Translate research prototypes into production-grade features, with attention to performance, resilience, and accuracy.
Conduct code reviews, maintain high development standards, and mentor team members.

We are looking for a senior Windows developer who is passionate about software design, code quality, and performance. The job involves writing production-grade and highly performant code that will be shipped to thousands of endpoints. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.

Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.