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Develop and integrate dynamic line rating technologies into grid optimization and operation, working with energy grids and weather teams to enhance power grid performance. You'll need a bachelor's degree in electrical engineering or related field with three years each in software engineering and power systems modeling, two years in machine learning, and experience with real grid operator data. Python or Julia proficiency and familiarity with grid-enhancing technologies are preferred.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Enhance technologies for power grids such as dynamic line rating.
  • Work closely with the Energy grids and Weather teams to integrate dynamic line rating into grid optimization and operation.
  • Prepare reports and presentations.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
  • 3 years of experience with software engineering/programming.
  • 3 years of experience in power or performance modeling or systems performance analysis.
  • 2 years of experience in machine learning fields.
  • Experience working with real grid operator data.

Preferred qualifications:

  • Experience with modeling or simulation of Grid-Enhancing Technologies (GETs).
  • Experience building power systems optimization models in Python or Julia.
  • Experience with complex physical or environmental data systems, with specific interest or expertise in weather forecasting, climate modeling, energy grid systems, or related sustainability fields.
  • Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
  • 3 years of experience with software engineering/programming.
  • 3 years of experience in power or performance modeling or systems performance analysis.
  • 2 years of experience in machine learning fields.
  • Experience working with real grid operator data.
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  • Role Sustainability Research Engineer, DeepMind
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

209K – 370K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 37 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
6 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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