Staff Full Stack Software Engineer, Tapestry
Company: X Development
Location: New York, NY
Salary: $207,000 - $300,000 a year
Type: Full-time
Posted: 2026-09-19
About this role
Software EngineeringMountain View, CA, San Francisco, CA, New York, NY
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:
As a Staff Frontend Engineer, you will define the architectural vision for how the world visualizes and interacts with the future of the electric grid. You will lead the technical roadmap for our web platforms, bridging the gap between complex power-system AI and intuitive, high-performance user experiences that enable global energy leaders to make trillion-dollar decisions.
How you will make 10X Impact:
- Lead the design and evolution of a highly performant, enterprise grade frontend architecture capable of visualizing massive, real-time geospatial and time-series data sets.
- Establish engineering excellence across the organization by defining best practices for state management, testing, and component-driven development.
- Define the next generation of Human-AI Interaction for the energy sector. Architect agentic workflows and ML-powered interfaces that move the platform from passive visualization to proactive decision support, allowing users to navigate high-stakes complexity through predictive automa...