Power Systems Research Engineer, DeepMind

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

Job summary

Google DeepMind is seeking a Power Systems Research Engineer to advance optimization, data-driven methods, and scalable experiments for real-world grids. In this role you will ingest grid data, formulate AC/DC OPF and dispatch constraints for ML consumption, and collaborate with national laboratories, utilities, and internal teams to translate research into practical solutions.

Strong Python or Julia programming skills, deep systems knowledge, and excellence in communication are essential to

Qualifications

• 10 years of experience in Power Systems, Energy, or Power Plant Engineering.
• 2 years of leadership or people management experience.
• Experience with real grid operator data.
• Experience building power systems 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 (e.g., LLNL), utilities, grid operators, and internal teams.

Skills

Power Systems

Leadership

Grid data

Power optimization

Software engineering

Tools

Python

Julia

Job description

Power Systems Research Engineer, DeepMind

Share Power Systems Research Engineer, DeepMind

DeepMind New York, NY, USA ; San Francisco, CA, USA

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.

• 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.

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.