Grid Power Systems AI Research Engineer

Google; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind in New York, NY, is seeking a Power Systems Research Engineer to advance grid optimization and AI-driven insights. You will ingest real-world grid data, design AC-OPF/dispatch models, and collaborate with national labs and utility partners to deploy scalable solutions.

The role blends research rigor with hands-on engineering, offering chances to prototype at scale, publish findings, and influence energy systems globally while collaborating with cross-disciplinary teams across

Qualifications

• 10+ years in power systems, energy, or power plant engineering.
• 2+ years in leadership or people management.
• Experience with real grid operator data.
• Experience building optimization models in Python or Julia.
• Experience in software engineering.

Responsibilities

• Ingest and curate real-world grid operator data.
• Formulate AC/DC Optimal Power Flow (AC-OPF), economic dispatch, and congestion management constraints for ML consumption.
• Serve as primary technical liaison with national laboratories, utilities, grid operators, and internal teams.

Skills

Power systems experience

Leadership / people management

Experience with real grid operatordata

Optimization modeling

Software engineering

Tools

Python

Julia

Job description

Google DeepMind in New York, NY, is seeking a Power Systems Research Engineer to advance grid optimization and AI-driven insights. You will ingest real-world grid data, design AC-OPF/dispatch models, and collaborate with national labs and utility partners to deploy scalable solutions.

The role blends research rigor with hands-on engineering, offering chances to prototype at scale, publish findings, and influence energy systems globally while collaborating with cross-disciplinary teams across