Google

Power Systems Research Engineer, DeepMind

Google • $207K — $300K *
Energy & Utilities
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10 years of experience in Power Systems, Energy, or Power Plant Engineering.
  • 2 years in a leadership role focusing on talent management.
  • Experience working with real grid operator data.
  • Proficient in building power systems optimization models using Python or Julia.
  • Background in software engineering.

Responsibilities

  • Ingest and curate real-world grid operator data.
  • Formulate AC/DC Optimal Power Flow (AC-OPF) and manage economic dispatch constraints for ML use.
  • Act as the primary technical liaison with national laboratories and utility partners.

Benefits

  • Access to diverse learning opportunities across global teams.
  • Career growth through varied pathways in a leading AI lab.
  • Engagement in AI research contributing to public benefit and scientific discovery.
Full Job Description
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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Francisco, CA, USA.

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.


About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • 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).

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
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