Senior Optimization Engineer - Power Markets (Short-Term Dispatch)

Tierra; San Francisco (CA); On-site; USD 150,000 - 185,000; Full time

Benefits offered by this job

Equity

Health insurance

401K with 3% company contribution

Home office stipend

Co-working membership

Job summary

Tierra is seeking an Optimization Engineer to advance our optimization software across US power markets, focusing on day-ahead, intraday, and real-time opportunities for various asset types. You will directly influence revenue performance while contributing to environmental benefits in the energy transition.

You'll work with a team of engineers and data scientists to deploy robust optimization solutions, leveraging Python, LP/MIP, and cloud tools, in a fast-paced startup environment.

Qualifications

• Deep understanding of power systems and wholesale power market mechanisms.
• 3+ years of experience writing software in Python and using LP/MIP/Convex optimization for energy asset dispatch.
• 5+ years in energy or related engineering role with production software experience.
• Experience with GitHub, version control, and agile/lean development.
• Experience using relational or columnar databases and SQL.

Responsibilities

• Develop and refine optimization models for short-term battery dispatch across multiple US power markets.
• Monitor market prices and rule changes to identify optimization opportunities.
• Collaborate with data scientists and engineers to improve bidding and dispatch strategies.
• Enhance optimization methods under uncertainty and integrate probabilistic forecasts.
• Promote software development best practices including testing, deployment, and monitoring.

Skills

Power systems knowledge

Python programming

GitHub collaboration

Agile experience

SQL / databases

Education

Bachelor's degree in a related quantitative field

Advanced degree (Master's or PhD)

Tools

AWS (EC2, S3, RDS)

Optimization libraries / LP, MIP

Excel / data tools

Job description

Tierra is seeking an Optimization Engineer to advance our optimization software across US power markets, focusing on day-ahead, intraday, and real-time opportunities for various asset types. You will directly influence revenue performance while contributing to environmental benefits in the energy transition.

You'll work with a team of engineers and data scientists to deploy robust optimization solutions, leveraging Python, LP/MIP, and cloud tools, in a fast-paced startup environment.