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# Power Systems Research Engineer, DeepMind

- **Company:** Google LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $207,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Google Cloud, Data Pipelines
- **Published:** September 26, 2026
- **Apply:** https://dejobs.org/x/x/2EB165D89A2D42B98FCF30FFAC36ACE8/job/

## About the Role

* 10 years of experience in Power Systems, Energy, or Power Plant Engineering.
 * 2 years of experience in leadership or people management with a focus on hiring, mentoring, and retaining talent.
 * Experience working with real grid operator data.
 * Experience building power systems optimization models in Python or Julia.
 * Experience in software engineering.

Preferred qualifications:

 * Experience with machine learning frameworks and evaluating ML models, including data pipelines, training, and deployment.
 * Excellent project management, verbal communication, analytical and written skills.

## Description

* Ingest and curate real-world grid operator data.
 * Formulate AC/DC Optimal Power Flow (AC-OPF), economic dispatch, and congestion management constraints (thermal limits, voltage stability, power flow equations) for ML consumption.
 * Serve as primary technical liaison with national laboratories (e.g., LLNL), utilities, grid operators, and internal teams (e.g., Google E&P, Tapestry, Google Cloud).


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