לוח משרות דרושים

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

As a software engineer (SWE) on the team you will design, implement and manage the reliable rollout of features to production. As a leader on the team you will build the team's roadmap, balancing needs with current customer requirements, and the ongoing improvement of the system and the code base. You will mentor other team members and colleagues and foster a culture of engineering excellence.
Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We are looking for a Senior Software Engineer -Protocols to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and cyber security initiative at our company.
In this role, youll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.
This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.
Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Rapidly prototype and iterate based on data insights and user feedback.
Design and build data-driven solutions with a strong emphasis on practical impact and performance.
Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.

we are looking for a Software Engineer III, Google Identity and Engagement
Responsibilities
Impact both Google Product Areas and end users directly by designing and implementing key components (full-stack) in the Google Notification Platform (GNP) Frontend.
Work with peers from other aspects of the product development lifecycle, including other Growth and Notifiction Team (GaNT) Engineering teams, Product Management, Site Reliability Engineering (SRE), UX/UI (User Experience/User Interface).
Develop software primarily in Java, Angular, and Dart, heavily adopting AI into the workflow.

We are looking for a Senior Software Engineer -Platform to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

As a SERDES/PCIe Silicon Validation Engineer, you will take ownership on characterization of SERDES analog IPs provided by external vendors. Your job is to assure that the IP is meeting Google high standards. You will work closely with different multi-functional teams within the Silicon organization, as well as external vendors.

Responsibilities
Perform thorough Lab characterization/Validation of Serializer/Deserializer (SERDES) IPs, such as PCIeG6 PHYs.
Write Inhouse tools/scripts to characterize the IP.
Manage bench test, debug, and characterization of analog/mixed signal on-chip circuitry (PLLs, Clocks, Data Converters and various I/O Interfaces).
Manage the development of benchtop electrical tests exercising on-chip circuitry through a combination of Joint Test Action Group (JTAG), Universal Asynchronous Receiver/Transmitter (UART), Serial Peripheral Interface (SPI), and other analog interfaces.
Draft and execute scripts to automate tests, extract results, and generate reports using database and investigative tools.

As a Nonfunctional Engineer, you will be planning and executing business logic load tests, scalability tests, and chaos.
As part of the job, you will need to plan with Dev teams and create and execute performance tests for feature,
product KPIs, end to end on customer look-alike environments.
You will also help the automation team to design and automate relevant use-cases.
Integrating and support Load testing tools like Galing/K6/cyperf
Key Responsibilities
Executing performance efforts and plans
Designing and executing both business logic with load tests
Preparing, tuning, and configure the testing environment
Analyzing and profiling the system
Delivering product KPIs and reports
Work with dev ops and architects.

We are an ever-evolving company, driven by our passion for video.
Weve grown from a small start-up to a thriving business,
and have been a part of the biggest global ad agency for ten years.
Our main priority is maintaining our fun and determined environment
and keeping our employees engaged in their work.
We need people who are as passionate about video and the ad tech industry.
If you are ambitious, hardworking, and motivated, we want to get to know you!
a Video Discovery technology used by 100s of digital publishers across the world, empowering 350M monthly uniques with an engagement-based video experience that recommends video content users love.

About the Position
looking for a Talent Acquisition Specialist as maternity leave replacment for ~6 months, to join our HR Team.
This position would be responsible for managing the full recruitment lifecycle across a variety of open roles, helping management find, hire, and retain quality talent.

As an Executive CPU Design Verification Engineer, you will be a part of Research and Development team to verify digital designs, develop constrained-randomn test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through rigorous corner-case testing.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/UVM or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.

We are seeking a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a Data Engine Software Engineer, You will participate in developing our Engine, a fully managed Serverless platform tailored for AI pipelines. You will write operators, controllers, and schedulers that integrate to other platforms and services all running on a Kubernetes environment.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.

In this role, you will be part of a team developing Application-Specific Integrated Circuit (ASIC) used to accelerate networking in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.

You will be responsible for performance analysis for an end-to-end networking stack using your infornation of RDMA based transports.

Responsibilities
Participate in evaluation of future ASIC designs and general architecture for executing Googles data center networking roadmap: off-the-shelf components, vendor co-developments, custom designs, and chiplets.
Collaborate in developing new layer protocols for data center networking.
Understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.

We are looking for a highly experienced data-driven Media Partners Manager to join our demand generation team and be responsible for managing media partner activities across our product portfolio.
Key Responsibilities
Develop performance and grow our wide portfolio of media channels, affiliates and content syndication partners.
Seek and develop new business opportunities with cutting edge media platforms/vendors.
Build and execute the growth strategy for managed channels.
Manage and monitor marketing budgets within an ROI-driven marketing strategy and run data-driven experiments and A/B tests to optimize our activity.
Collect and analyze campaign data to identify optimization steps for future campaigns and new opportunities.
Work closely with the Marketing Automation, SDR, BDR, Design, Marketing ops, BA, Product and Content teams to constantly improve performance and marketing materials.
Negotiate and evaluate content syndication and media buying opportunities.