Carbon Direct is a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. The role of Power Systems Engineer involves developing and operationalizing machine learning models to support carbon management, designing electrical systems for decarbonization, and collaborating with cross-functional teams to deliver actionable insights.
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
Requirements:
- 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)
- Deep familiarity with energy market structures (ISOs/RTOs), capacity markets, resource adequacy frameworks, and reliability standards
- Experience deploying machine learning models in production environments
- Experience working across multidisciplinary teams, strong written and verbal communication skills, including the ability to present complex analytics to non-technical stakeholders
- Experience modeling energy storage systems, EV infrastructure, building electrification, or industrial decarbonization
- Familiarity with GHG accounting, energy policy, or carbon market frameworks
- Prior experience in consulting, policy, or a climate-focused organization working with corporate clients
- Professional licensure (PE) or advanced credentials in relevant electrical engineering domains
- Published or public-facing technical work in electrification, grid modernization, or related areas
- Knowledge and experience with ISO/RTO operations
- Familiarity with FERC regulatory proceedings and filings and power market design
- Knowledge of natural gas/power market dynamics