Power Systems Architect for AI-Driven Grid

Tapestry

Mountain View (CA)

Hybrid

USD 159,000 - 277,000

Full time

11 days ago

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Benefits offered by this job

Competitive salary
Equity
Medical/dental/vision coverage
Generous PTO
401(k) with employer contribution
Professional development
Hybrid work model

Job summary

Tapestry in Mountain View, California, is hiring a Power System Specialist to support the Tapestry platform for developers, utilities, and stakeholders. You will translate deep power systems expertise into viable product roadmaps and scalable tools across AI, energy systems, product, and software teams.

You will act as the domain expert and primary POC, collaborating with engineers, ML researchers, and partners to enable scalable planning workflows.

Qualifications

  • Bachelor or Master in Electrical Engineering or related field.
  • 5+ years of experience in power systems analysis and large load development.
  • Strong understanding of power flow, short circuit, contingency analysis and stability.
  • Experience with power system software and scripting/automation.

Responsibilities

  • Architect and define next-generation planning workflows for large load developers.
  • Serve as the primary domain expert and technical POC for end-to-end planning at scale.
  • Drive product development through prototyping, design reviews, and QA/QC.
  • Synthesize partner requirements and grid insights to refine strategy.

Skills

Power systems analysis
Electrical engineering
Programming languages
Python
Matlab
Team collaboration

Education

Bachelor/Master in Electrical Engineering or related

Tools

PSS/E
PSLF
PSCAD
Matlab
Python
C++

Job description

Tapestry in Mountain View, California, is hiring a Power System Specialist to support the Tapestry platform for developers, utilities, and stakeholders. You will translate deep power systems expertise into viable product roadmaps and scalable tools across AI, energy systems, product, and software teams.

You will act as the domain expert and primary POC, collaborating with engineers, ML researchers, and partners to enable scalable planning workflows.

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