over 1 year ago
Base Salary
$140k - $205k/yr
Responsibilities
- Develop optimization, forecasting, and control algorithms to automate battery and renewable energy projects for maximum performance.
- Own algorithm performance across Powerline-operated projects.
- Evaluate algorithmic approaches based on their ability to deliver results.
- Stay current on wholesale electricity-market developments and act as a market-rules expert.
- Analyze market trends and individual asset performance to recommend features and methods that improve project performance and Powerline’s offerings.
Requirements
- 5+ years of experience building mixed-integer linear and/or nonlinear optimization models for high-dimensional real-world problems.
- Strong knowledge of energy markets, EV or fleet optimization, batteries, virtual power plants, renewable energy, energy policies and regulations, and/or energy systems.
- Professional proficiency in Python and software engineering standards.
- High attention to detail and excellent communication skills, including the ability to explain complex technical concepts.
- A Ph.D. in operations research, electrical engineering, computer science, statistics, economics, or a related mathematically rigorous field is a strong plus.
- Experience with Git, CI/CD pipelines, agile development, SQL-based databases such as MySQL or PostgreSQL, and analytic dashboards or visualization tools is a strong plus.
Tech Stack
Categories
Data Science
About Powerline
Powerline builds AI-driven software for monitoring and operating energy assets, with a focus on optimizing renewable generation and battery storage in power markets. Its platform ingests real-time data and applies machine learning and optimization to improve dispatch, revenue, and emissions outcomes for asset owners, grid participants, and energy traders. The privately held company is based in the San Francisco Bay Area.