Grid Optimization & AI Research Engineer

DeepMind Technologies Limited; San Francisco (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind seeks a research-focused Software Engineer to advance large-scale tests and deployment across energy grid projects. Engage with internal research, partner universities, and global teams to translate ideas into scalable solutions for AI and grid optimization.

You will prototype architectures and publish findings while contributing to safety, ethics, and responsible AI practices within a leading AI lab.

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.

Responsibilities

• 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.

Skills

Software engineering

Power modeling

Machine learning

Grid data experience

Education

Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience

Tools

Python

Julia

Job description

Google DeepMind seeks a research-focused Software Engineer to advance large-scale tests and deployment across energy grid projects. Engage with internal research, partner universities, and global teams to translate ideas into scalable solutions for AI and grid optimization.

You will prototype architectures and publish findings while contributing to safety, ethics, and responsible AI practices within a leading AI lab.