Transmission Engineer

Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability. They are seeking an experienced Transmission Planning and Modeling Engineer to support the growth of their flexible interconnection product, focusing on integrating utility data sets and running power flow models.

Responsibilities:

• Perform modeling and technical analyses to evaluate proposed data center/large load sites for flexible interconnections, such as:
• Time series power flow simulations
• Contingency analyses
• Production cost model simulations
• Configuring probabilistic scenario analyses
• Inform and shape the product roadmap for flexible interconnection planning and operations
• In collaboration with Camus’ Customer Success team, engage with data center and utility customers to evaluate and implement flexible interconnections
• Work with our utility customers/partners to evaluate and understand utility data sets so that they can be integrated into the Camus platform
• Collaborate with Camus’ Customer Success and Engineering teams to integrate utility-specific transmission models, GIS data, and time series data into the Camus platform
• Stay informed on the regulatory and policy landscape around large load interconnection processes for the relevant utility and/or ISO/RTO regions of focus
• Inform development of the operational model supporting flexible interconnections in utility and ISO/RTO operations
• Document product capabilities and requirements that support the analysis and adoption of flexible interconnections in the transmission system

Requirements:

• 7+ years in the utility industry (at a utility or adjacent consulting or academic roles) with a focus on transmission interconnections and planning analyses
• Masters or PhD in power systems or electrical engineering, or equivalent industry experience with a demonstrated ability to understand the technical foundations for transmission modeling and analysis
• Experience with PSS/E, TARA, PSLF or other commonly used modeling platforms and a demonstrated ability to learn new modeling platforms
• Experience running time series AC power flow, and contingency analyses
• Experience with SQL and/or Python scripting that support data analysis and process automation
• Inquisitive nature that drives data investigation and establishing relationships between utility data sets and time series data
• Passionate about transforming the grid and making an impact on climate change
• High integrity and low ego - you are self motivated to do your best work and collaborate well with others
• Experience running DC OPF in the form of a production cost model
• Experience with encoord's SAInt modeling platform
• Experience with transmission operations and/or operational planning and day-ahead contingency scenarios