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In this role, you will unlock insights from Data, process, anonymize, and analyze massive datasets to reveal trends in near real-time. You will design and develop intuitive and powerful front-end interfaces with compelling visualizations. You will seek new ways to surface meaningful trends, enhance the user experience, and partner with teams across Google to tell data-driven stories.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities
Write 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.

In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to Google3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on Google Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and Google's internal tooling to select the right technology for the job.

What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure activities.
Participate in test plan and coverage analysis of the block and SoC-level verification.
Communicate and work with multi-disciplined and multi-site teams.