Front End Software Engineer; Tapestry

About The Team

Tapestry is Alphabet’s moonshot for the electric grid, working at the frontier where energy’s complexity meets AI’s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain. To keep pace with humanity’s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI‑enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently—ensuring electricity remains reliable and affordable for everyone.

This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.

Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design—all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.

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.

• 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.

• 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 agentic tasks, and building robust feedback loops.
• A deep understanding of next‑generation interaction patterns. You have experience moving beyond traditional "point‑and‑click" dashboards toward intent‑based interfaces and generative user interfaces that adapt to user goals in real time.
• Mastery of Type Script and modern frameworks (React/Angular), paired with a solid grasp of how to interface with shared services and orchestration layers.
• The ability to design for the "Human‑in‑the‑loop." You can architect systems where AI suggestions are seamlessly integrated with human expertise, ensuring clarity, trust, and safety in high‑stakes energy planning.
• A track record of taking "impossible" levels of complexity and distilling them into intuitive workflows that feel effortless to the end user.

• Experience with power systems, GIS (Geographic Information Systems), or climate‑tech…