Carbon Direct is a carbon management firm dedicated to making carbon science actionable using its end-to-end platform. The company helps its clients turn their
Power Systems Engineer
Location
Washington + 2 moreAll locations: Washington | California | New York
Posted
55 days ago
Salary
$133K - $195K / year
Seniority
Senior
Job Description
Power Systems Engineer
Carbon Direct
• 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.
Job 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
Benefits
- Comprehensive nationwide medical, dental, and vision coverage.
- Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's
- 16 weeks of fully paid parental and family leave with no tenure requirement
- Remote-friendly work culture with annual company-wide retreats
- Reimbursement for your work-from-home setup and monthly work-from-home stipend
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