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Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

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
Design, develop, and maintain CAD tools and scripts to automate and streamline design tasks, verification processes, and data analysis.
Administer and optimize the front-end compute environment, ensuring reliability, performance, and scalability.
Provide technical support and training to Design and Verification teams on the use of CAD tools, scripts, and the compute environment.
Identify opportunities to enhance front-end development workflows, implement improvements, and document best practices.
Work closely with design, verification, and CAD teams to understand their needs, gather requirements, and deliver effective solutions.

Were looking for an Automation Infrastructure engineer whos a true tech geek, creative thinker, and great at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering high-quality products, always dreamed of being part of building the next generation of Automation Infrastructure technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Designing, building, and maintaining our automation infrastructure for our suite of products, ensuring they meet the highest standards of quality and functionality.
Coaching and mentoring team members on best practices for automation, fostering an environment of learning and continuous improvement.
Interact, lead technical discussions with other team members, and collaborate to solve complex issues.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

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
Plan the formal verification strategy and create the properties and constraints for digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
Resolve difficult to verify properties, and contribute improvements to methodologies to enhance formal verification results.
Implement reusable formal verification components.

As our DevOps Activity Leader, you will join our R&D leadership team to set the technical vision for our infrastructure. Working alongside our Data/ML, Mobile, and Backend leaders, you will play a key role in shaping our company's overall technical strategy.
Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.

Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.
Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.
Technology Breadth: Work across the full DevOps spectrum from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.
What you'll be doing
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.