Power Systems Research Engineer, DeepMind

• 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).

Minimum qualifications:

• 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.

• 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.