Staff Computational Scientist (Electric Grid Simulations

TapestryMountain View, CA
Hybrid

About The Position

Tapestry is seeking a talented grid simulations and computational specialist to join their team and help expand high-performance grid computation capabilities. This role involves bridging power system physics with modern software architecture, designing simulation algorithms and optimization tools for complex, large-scale electrical networks. The specialist will collaborate with a multidisciplinary team of AI researchers, software engineers, power systems domain experts, and product managers to develop production-ready solutions. The goal is to empower global energy partners to accelerate the transition to clean energy, improve grid reliability, and achieve significant impact across the global energy ecosystem.

Requirements

  • Master or PhD in Electrical Engineering.
  • Solid expertise and a deep understanding of core power systems and power electronics principles.
  • 6+ years of experience in power systems or power electronics modeling and simulations.
  • Experience in one or more general-purpose programming languages such as Python, Java, or C/C++.
  • Understanding of numerical methods, including solving nonlinear/linear differential equations, differentiation and integration, and time discretization.

Nice To Haves

  • Experience conducting power system planning and interconnection studies.
  • 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.

Responsibilities

  • Work with power system and software engineering experts on the design and creation of advanced simulation and optimization tools.
  • Develop codes and algorithms to take full advantage of powerful, modern computer hardware.

Benefits

  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO
  • Flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
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