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As a CPU Workload Analysis Researcher within Google Cloud's MSCA organization, you will be integral to developing silicon solutions powering Google's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the Google Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of Google users and Cloud customers.

Responsibilities
Plan and execute detailed analysis of CPU workloads within the Google Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on Google Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

We are looking for a Software Engineer -A new college Grad 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.

Were a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!

You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

Responsibilities
Develop our core analytics engine that automatically turns data into concrete opportunities.
Work closely with our data team to build and take our analyses and DS models into production.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

we are looking for a CPU Logic Design Engineer, Google Cloud, PhD, University Graduate, Start 2025
Responsibilities
Contribute to CPU frontend designs, emphasizing on microarchitecture and RTL design for the next generation CPU.
Propose performance enhancing microarchitecture features with efficiency in mind. Work with architects and performance teams for trade-off studies. Communicate pros and cons of microarchitecture enhancements. Facilitate final decision making.
Deliver designs meeting Power, performance, and area (PPA) goals with production quality.
Become familiar with techniques for at least one processor functional block. Interpret the techniques into design constructs and languages in order to provide guidance to and participate in the performance modeling effort.

we are looking for a promising and brilliant Cloud Back End Developer to join Avanan.
Avanan was acquired by our company and it is now our companys Email Security and collaboration solution.
This is a unique opportunity to work on a large-scale cloud-native system (one of the 10 largest in Israel!) using cutting-edge technology in an agile environment!
Key Responsibilities
As a Cloud Back-End Developer, you will be responsible for developing and maintaining exciting security products for Avanans customers. Our production environment is a fast-paced, agile development cloud environment - handling tens of millions of transactions daily
You will develop software serving large scale production real-time multi-tenant environment, handling large quantities of data, using microservices architecture and design patterns.
The domain you will tackle will involve cutting edge cybersecurity cloud solutions, like phishing, impersonation, anomaly detection, and more. All are implemented with the latest AWS tools and managed services such as Elastic Container Services, Kinesis, DynamoDB, SQS, Opensearch, ElasticCache, Iceberg, and many more. You will design and develop high impact real-time components and take ownership of the end-to-end solution.
Develop production-grade, large-scale cloud-based security products.
Design and develop data-driven applications in an agile development environment.
Collaborate cross-functionally with product managers, QA, automation, data engineers, and other engineers to achieve elegant solutions.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.

At our company, we dont just test softwarewe safeguard the digital world.
As a global leader in cyber security, were looking for a passionate and detail-oriented QA Engineer to join our mission of delivering uncompromising quality in every product we ship. If you thrive in a fast-paced, innovation-driven environment and want to make a real impact, this is your opportunity.
Key Responsibilities
What Youll Do
Be the quality gatekeeper for cutting-edge cyber security solutions used by 100K+ customers worldwide.
Design, develop, and execute comprehensive test plans and automated test suites.
Collaborate closely with developers, product managers, and UX designers to ensure seamless user experiences.
Identify, document, and track bugs with precision and clarity.
Drive continuous improvement in testing processes, tools, and methodologies.
Stay ahead of the curve by integrating AI-driven testing strategies and best practices.

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 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 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.