Power Systems Engineer

Tapestry•Mountain View, CA

1d•Hybrid

About The Position

About Tapestry Tapestry is a team within Alphabet 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 product 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.

Requirements

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 experience working with Common Information Model (CIM) standard and data conversion between CIM and other commonly used data formats in the power industry.
Strong understanding of power system principles, including power flow, short circuit analysis, transient stability, and economic dispatch.
Proficiency in power system analysis software and experience working with physical grid data (GIS) and operational datasets
Experience/knowledge in scientific programming languages (e.g, Matlab, Python, JAX, C++, Julia, etc.) with a desire to expand into new areas of coding languages and processes.
Excellent analytical, problem-solving, and communication skills.
Comfort navigating modern software environments, interacting with data layers, using ingestion tools, and collaborating closely with developers.

Nice To Haves

Ph.D (or equivalent experience) in Electrical Engineering, Power Systems or related technical field.
Familiarity with open-source power systems tools, libraries, or data repositories is a plus but not strictly required.
Track record of delivering scalable solutions to complex software problems
Experience in startup or high-growth environments

Responsibilities

Serve as the primary technical liaison connecting internal and external cross functional teams to align on data requirements.
Serve as the domain knowledge expert to help Product Manager to define the Model Ingestion User Journey and Functional Requirements.
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.
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.
Stage and deliver validated grid models into target testing and production applications
Conduct rigorous application-level testing of the models to verify performance, coordinate with end-users for validation, and provide final engineering sign-off.