Senior Power Systems Engineer
New
J
JobgetherPower systems software
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of experience in distribution system modeling or power systems analysis
- Required Skills
- Python
Requirements
- Bachelor's or Master's degree in Electrical Engineering, preferably with a specialization in power systems.
- At least 5 years of experience in distribution system modeling or power systems analysis, including building models from imperfect source data.
- Hands-on experience with at least one distribution power flow tool, such as OpenDSS, CYME, Synergi, PowerFactory, PSS®SINCAL, or an ADMS power flow engine.
- Strong understanding of unbalanced three-phase distribution load flow, including voltage bases, phase representation, equipment models, thermal and voltage limits, and reverse power flow.
- Practical knowledge of distribution capacity planning and how utility planners assess and validate engineering results.
- Experience benchmarking power flow tools and explaining technical differences.
- Experience working in production software environments alongside developers, including code reviews, automated tests, and continuous integration.
- Strong technical judgment to identify inaccurate or questionable results.
- Experience conducting or reviewing load and DER interconnection studies is preferred.
- Strong Python skills, particularly for profiling numerical code at scale, are preferred.
- Experience converting distribution connectivity models at scale using CIM, GIS, or vendor exports is preferred.
Responsibilities
- Evaluate power flow engines using real distribution feeders, benchmark their performance, and integrate the selected engine into the product.
- Build and maintain validated, versioned digital representations of utility distribution networks from connectivity models and source data.
- Define utility network, asset, AMI, SCADA, and forecasting data requirements, and develop repeatable integrations using CIM, GIS, and vendor-specific formats.
- Develop grid-model accuracy capabilities, including meter-to-transformer-to-phase confidence, SCADA calibration, and data-quality exception handling.
- Create planning scenarios and translate load, DER, EV, electrification, and large-load forecasts into study-ready asset-level profiles and phase scenarios.
- Build reliable 8760 and time-series execution capabilities and hourly, per-phase loading models across grid assets.
- Develop interconnection study capabilities for new load and DER connections, including hosting capacity screening, headroom assessment, and system and contingency impact checks.
- Own technical design and validation of power flow, digital twin, and study layers; collaborate with software developers on performance, failure handling, observability, and maintainability.
- Establish QA and regression testing, benchmark results against trusted planning tools and field data, and document technical assumptions.
- Deliver proofs of concept using utility data, validate pilots, define acceptance tests, and explain technical results to utility planners and engineers.
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