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Tapestry

Data monetisation platform with commerce solutions

Computational Scientist - Electric Grid Simulations

Power Systems EngineeringUpdated on Nov 12
Full-timeMountain View, CA, USA

About the Job

Requirements

  • A Master's or PhD in Electrical Engineering.
  • Solid expertise and a deep understanding of core power systems and power electronics principles.
  • At least 2 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 and linear differential equations, differentiation and integration, and time discretization.

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.

Desired Qualifications

  • Experience conducting power system planning and interconnection studies.
  • Skill and efficiency in scientific programming languages such as JAX, C++, or Julia, with a desire to expand into new areas of coding languages and processes.
  • Familiarity with Machine Learning concepts.

About the Company

Tapestry

Data monetisation platform with commerce solutions

Tapestry focuses on turning data into revenue. It offers proprietary data monetisation technology along with a set of commerce tools that help businesses unlock value from their data and create new income streams. By using its technology, companies can extract insights, establish data partnerships, and offer data-driven services to customers and partners, generating incremental revenue and enhancing the experience for stakeholders. The product combines data monetisation capabilities with commerce functions to enable smarter decisions and new business models. Unlike others in the field, Tapestry emphasizes a holistic approach where intelligent data capabilities support business expansion and sustainable growth rather than simply managing data assets. The company’s goal is to help organizations monetize their data, grow revenue, and foster long-term, scalable business development.

Company size
11-50
Company stage
N/A
Total funding
$900K
Headquarters
Melbourne VIC, Australia
Founded
2022

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