Power Systems Engineer

About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world’s most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean. Originally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future. Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here . About the role: In this role, you will serve as a strategic technical bridge across cross-functional engineering, product, and partner teams to shape and execute Tapestry’s end-to-end grid model strategy. You will lead efforts to transform complex, multi-source industry grid and network data into unified, high-quality standards, such as the Common Information Model (CIM). By driving model quality assurance, optimizing data ingestion, and continuously refining our validation frameworks, you will play a pivotal role in scaling the reach, reliability, and real-world impact of our AI-powered grid platform. How you will make 10X Impact Cross-Functional Technical Bridge: Serve as the primary technical liaison connecting internal and external cross functional teams to align on data requirements. Co-pilot to Product Management: Serve as the domain knowledge expert to help Product Manager to define the Model Ingestion User Journey and Functional Requirements. Ingestion Execution and Tooling Feedback: Utilize internal ingestion tooling to process and convert grid models from industry comment file format into CIM format. Actively collaborate with Software Engineering to provide operational feedback, flag bugs, and drive improvements for future tooling automation. Model Quality Assurance: Validate that all ingested models meet explicit use-case requirements with specified technical data requirements. This includes running iterative checks to ensure models are correctly geolocated and electrically simulatable with acceptable results. Application Deployment: Stage and deliver validated grid models into target testing and production applications Lead User Acceptance Testing: Conduct rigorous application-level testing of the models to verify performance, coordinate with end-users for validation, and provide final engineering sign-off. What you should have… Masters degree in Electrical Engineering, Power Systems or related technical field. 5+ years of experience in power systems modeling and analysis. Deep technical understanding of power system topologies and explicit…