Power Systems Engineer

The Role

Overview

We are seeking an Electrical Engineer to join our growing Data and Innovation team. This role sits at the intersection of power systems engineering, energy economics, and applied machine learning to support Carbon Direct's mission of accelerating science-based carbon management. You will work with the team of engineers, climate technology experts, and applied researchers: contributing to client engagements, internal analyses, and the development of best practices across our decarbonization work.

Responsibilities

• Develop and operationalize ML/AI models to support real-time and forward-looking models, including load, generation, price forecasting and renewable (wind/solar) generation forecasting
• Design, evaluate, and analyze electrical systems relevant to decarbonization pathways, including electrification, grid integration, power electronics, and low-carbon energy technologies.
• Contribute to long-range transmission and integrated resource planning, including renewable integration assessments and production cost modeling
• Conduct rigorous technical due diligence on projects, technologies, and proposals involving electrical infrastructure, energy storage, or industrial electrification.
• Translate complex engineering analyses into clear, actionable recommendations for clients, internal teams, and executive stakeholders.
• Collaborate cross-functionally with scientists, policy experts, and business development teams to support client deliverables and thought leadership.
• Contribute to publications, technical reports, and external communications related to electrification and grid decarbonization.
• Stay current on developments in power systems modeling , climate technology, grid modernization, and industrial decarbonization.

Qualifications

Required:

• Master's or Ph.D. degree in Electrical Engineering, Aerospace Engineering or a related quantitative field
• Expertise in the electric power industry, with exposure to wholesale electricity markets and/or grid operations
• Proficiency in AC/DC power flow models, experienced in working with production-cost models such as PROMOD, Plexos, AURORA
• Proficiency in statistical modeling, forecasting, and data analysis (Python, R, MATLAB, or equivalent)