Job Description Summary

Job Description

Roles & Responsibilities

• Partner with key stakeholders to understand functionality needs for the development of transfer capability analysis tool
• Develop Python modules to integrate the transfer capability into the existing GE PSLF’s Python API
• Work with the team to develop real-world test cases to prove the capabilities of the tools as they are built
• Develop input data formats for the new tool leveraging existing GE PSLF’s powerflow and contingency definitions formats where possible, collect data and model it in those formats
• Develop, and lead portions of, a real-world proof-of-concept analysis establishing, demonstrating, and teaching best practices for the usage of the power transfer capability tools to other members of the team
• Provide software support for the new transfer capability analysis tool to internal and external customers

Required Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field from an accredited college or university
• Minimum 8 years’ experience in Software Development, Power Systems Analysis, or the Energy Industry with focus on power systems modeling, power flow analysis, contingency and transfer analysis
• Demonstrated knowledge of Algorithm development
• Demonstrated experience programming in Python
• Demonstrated knowledge of bulk electric system economics

Desired Characteristics

• Experience in developing power transfer capability tools including thorough understanding of calculation of various types like Total transfer capability, Available transfer capability, Transmission reliability margin and Capacity benefit margin
• Demonstrated knowledge of power systems modeling, power flow analysis and dynamics, numerical solution methods, continuation power flow and sparsity techniques
• Experience in developing/working knowledge of various transmission adequacy and reliability assessment tools available in market in planning software like TARA, PowerWorld, PowerFactory
• Demonstrated knowledge of contingency processing techniques and Industry Reliability standards like North American Electric Reliability Corporation's TPL (Transmission Planning), TOP (Transmission Operations) and MOD (Modeling, Data and Analysis) standards
• Demonstrated software development skills in modern object-oriented languages (at least one of C#, Java, or Python)
• Experience working with large datasets and Hierarchical Data Format (HDF) 
• Demonstrated application of complex mathematics and engineering to real-world electric power system problems
• Strong communication and problem-solving skills
• Experience programming in C#
• Experience with software build process, unit testing, and software QA
• Experience with Mercurial, GIT, or other distributed revision control software and developing engineering software tools
• Production Cost Modelling experience is a plus
• Self-starter with the ability to lead development projects
• Proficient with Microsoft Office Suite
• Masters / PhD degree in Electrical Engineering, Computer Science, or related field

If this role is contracted in the U.S.: 127,700.00 - 170,200.00 - 212,800.00 USD

The salary range for this position is 127,700- 212,800 USD annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. In addition, this position is eligible for 15% variable incentive compensation.

Additional Job Description

Additional Information

Compensation Grade

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunities Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening.

Relocation Assistance Provided: No