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Staff Full Stack Software Engineer

Tapestry · Mountain View, CA, San Francisco, CA, New York, NY · United States · Hybrid

Pay: USD 207,000 – 300,000 a year

Posted Sep 19, 2026

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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 automation and natural language reasoning. Partner with AI Research and Power Systems teams to translate complex algorithmic outputs into actionable, streamlined, AI-assisted experiences and radical simplifications for our users. Influence the multi-year product roadmap, identifying technical risks and opportunities. Optimize the "Critical Rendering Path" for high-stakes environments, ensuring our tools remain responsive while handling millions of data points via WebGL or Canvas. Raise the bar for the entire engineering org through deep technical mentorship, code reviews, and fostering a culture of rigorous craftsmanship. What you should have: 10+ years of experience in frontend or fullstack engineering, with a history of leading the technical vision for complex, large-scale platforms. Proven experience building enterprise applications that leverage Large Language Models (LLMs), agentic frameworks, or predictive ML models. You understand the nuances of non-deterministic UIs, including handling streaming responses, state management for long-running…