PhD Residency, Utility-Scale Power Electronics, Tapestry

P h D R e s i d e n c y , U t i l i t y - S c a l e P o w e r E l e c t r o n i c s ( W i n t e r 2 0 2 6 / S u m m e r 2 0 2 7 ) , T a p e s t r y

Internship Mountain View, CA (HQ)

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 .

In this role, you will lead advanced research and development efforts focused on improving the stability, resilience, and cont rollability of the electric grid through next-generation utility-scale inverter control. Your work will center on designing, simulating, and validating novel control and orchestration algorithms for inverter-based resources operating under a wide range of grid conditions.

Your primary objective will be to expand Tapestry’s control and orchestration capabilities by developing advanced inverter control strategies that address critical challenges such as mode shifting, automatic gain control, and stable operation across strong and weak grid environments. You will work from concept through implementation, contributing both theoretical insight and practical simulation artifacts that inform future product development.

This is a full-time, six-month PhD residency designed for candidates conducting doctoral research in power electronics, power systems, or advanced control.

• Design and develop advanced control algorithms for utility-scale inverter systems focused on grid stability and resilience.
• Create and validate mode-shifting inverter control strategies that enable seamless transitions between operating modes, such as grid-following (GFL) and grid-forming (GFM) for both single and three phase inverters.
• Design and implement Automatic Gain Control (AGC) approaches that dynamically adapt inverter behavior based on real-time grid conditions.
• Simulate and evaluate control strategies under a range of operating conditions, including strong grid, weak grid, and transient scenarios.
• Translate advanced control concepts into implementation-ready algorithms suitable for future firmware or hardware integration.
• Collaborate with power systems, software, and product teams to align research outcomes with real-world grid applications.
• Produce clear technical documentation outlining control design, assumptions, performance tradeoffs, and stability margins.