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Senior Computational Scientist (Electric Grid Simulations), Tapestry

Google • Mountain View, CA • 1d ago

Se ni or Co mp ut at io na lS ci en ti st (E le ct ri cG ri dS im ul at io ns ), Ta pe st ry

Software Engineering

Mountain View, CA (HQ)

About the team:

Tapestry, is

X's moonshot for the electric grid (https://x.company/blog/posts/why-the-electric-grid-needs-a-moonshot/)

. We are a team of software engineers, power systems experts and clean energy geeks who are impatient to tackle climate change head on through our energy system. Tapestry is on a mission to make the world's electric grid visible so everyone, everywhere can access clean, affordable and reliable energy. We are working with partners around the world to create AI powered tools that will help everyone who works with the grid build and manage a carbon-free and secure electricity system.

Currently incubating at X, Alphabet's innovation lab, we are now building the team that will scale Tapestry for more global impact. We are looking for people who are passionate about revolutionizing the energy sector to join us at this critical growth stage. You'll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company, while building on world-class technology created at Alphabet. Learn more about

Tapestry here (https://x.company/projects/tapestry/)

About the role

We are seeking a talented grid simulations and computational scientist to help us expand our grid computations capability.

How you'll make 10x impact:

In this role you will...

Work with power system and software engineering experts on the design and creation of advanced simulation tools for the power grid.

Develop codes and algorithms to take full advantage of powerful, modern computer hardware.

What you should have:

Master or PhD in a STEM field (such as Electrical Engineering, Computer Science, Physics, Mathematics, or a related field) with a strong interest in grid simulations and computations.

Demonstrated proficiency in Power Systems and Power Electronics fundamentals, coupled with a background in the development of simulation software.

At least a minimum of 6 years professional experience focused on power systems modeling and simulation principles.

Experience in one or more general-purpose programming languages such as Python, Java, or C/C++.

Proficiency in numerical analysis, such as time discretization, solving linear and nonlinear differential equations, and techniques for integration and differentiation.

It'd be great if you had these:

Experience conducting power system planning and interconnection studies.

Are a skilled and efficient programmer in scientific programming languages (e.g, JAX, C++, Julia, etc.) with a desire to expand into new areas of coding languages and processes.

Familiar with Machine Learning concepts.

The US base salary range for this full-time position is $166,000 - $259,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

An Equal Opportunity Workplace

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at

x-accommodation-request@x.team

Google

Go to Apply

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