Power Systems Research Engineer, DeepMind

DeepMind Technologies Limited; San Francisco (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is seeking a research-focused Software Engineer embedded across teams to run large-scale experiments and deploy innovative ideas rapidly. You will work on artificial intelligence, data mining, natural language processing, and performance analysis while staying connected to research through collaborations with universities and labs.

The role emphasizes applying ML to real-world challenges in power systems, collaborating with national labs, utilities, and internal groups, and

Qualifications

• 10+ years in power systems, energy, or power plant engineering.
• 2+ years 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 using 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

Leadership

Grid data

Optimization methods

Software engineering

Tools

Python

Julia

Job description

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

Responsibilities

Learn more about benefits at Google .

• 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).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .