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India
Remote only
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Power Systems Engineer based in India.
We are seeking a Senior Power Systems Engineer with deep expertise in distribution networks, power flow analysis, and grid planning to help develop advanced software for utility-scale grid intelligence. In this role, you will combine electrical engineering knowledge with software product development to build the capabilities utilities need for capacity planning, forecasting, and interconnection studies. You will own the electrical accuracy of the product, from grid modeling and solver integration to scenario analysis and technical validation. Working closely with software engineers, product leaders, and data science teams, you will transform complex utility data into reliable, scalable planning tools. You will also lead rapid proofs of concept using real utility data and turn successful approaches into production capabilities. This is an opportunity to influence how utilities respond to electrification, distributed energy resources, and growing demand from data centers.
You will lead the engineering of grid modeling, power flow, and planning capabilities, ensuring that the product delivers accurate, reliable, and actionable results for utility professionals. Your responsibilities will include:
Power Flow Solutioning: Evaluate open-source and licensed power flow engines using real distribution feeders, benchmark their performance, and recommend the most suitable solution. Integrate the selected engine into the product and ensure it operates effectively at scale.
Capacity Digital Twin: Build and maintain a validated, versioned digital representation of utility distribution networks, transforming connectivity models and source data into reliable grid models for planning studies.
Utility Data Integration: Define the network, asset, AMI, SCADA, and forecasting data requirements. Develop repeatable integrations using CIM, GIS, and vendor-specific formats, and establish processes for handling incomplete or inconsistent data.
Grid Model Accuracy: Engineer meter-to-transformer-to-phase confidence, SCADA calibration, and data-quality exception handling into the product. Ensure connectivity gaps and data limitations are explicitly identified rather than producing misleading results.
Scenarios, Forecasting, and Real Loading: Develop planning scenarios covering base, future, flexibility, contingency, and switching cases. Translate load, DER, EV, electrification, and large-load forecasts into study-ready asset-level 8760 P/Q profiles and phase scenarios.
Time-Series Execution: Build reliable, repeatable 8760 and time-series execution capabilities that allow planners to run scenarios at production scale.
Real Loading Models: Develop hourly, per-phase loading models across grid assets using AMI-derived demand, reconciled with SCADA data and accounting for phase allocation, coincidence, unmetered load, and losses.
Interconnection Studies: Build product capabilities for evaluating new load and DER connections, including request intake, point-of-interconnection mapping, hosting capacity screening, headroom assessment, and system and contingency impact checks.
Large-Load and Data Center Modeling: Incorporate phased energization, 8760 P/Q profiles, cooling and commissioning scenarios, and onsite generation, storage, and UPS configurations into interconnection studies.
Flexible Interconnection: Develop support for firm, phased, conditional, and flexible service options, including import, ramp, and curtailment envelopes. Ensure failed study cases can lead to proposed repairs or alternative connection paths.
Engineering Quality and Validation: Own the technical design of the power flow, digital twin, and study layers. Collaborate with software developers on performance, failure handling, observability, and maintainability.
Testing and Benchmarking: Establish QA and regression testing processes to ensure changes do not compromise electrical results. Benchmark outputs against trusted planning tools and field data, investigate differences, and document technical assumptions.
Rapid Proofs of Concept: Deliver practical proofs of concept using utility data within days, evaluating new study capabilities, solver options, or interconnection approaches. Clearly identify shortcuts and transition successful solutions into production.
Product and Pilot Validation: Define acceptance tests, validate pilots and proofs of value, and explain technical results directly to utility planners and engineers. Work with Product, Data Science, and business leadership to establish the evidence needed for adoption.
The ideal candidate is an experienced power systems professional who combines strong distribution engineering expertise with a product-building mindset and the ability to work effectively alongside software developers. The following qualifications and capabilities are expected:
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 personally 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 against one another and explaining technical differences.
Ability to turn raw utility data into credible working studies within short timeframes while clearly identifying assumptions and limitations.
Experience working in production software environments alongside developers, with code reviews, automated tests, and continuous integration.
Strong technical judgment and the ability to identify inaccurate or questionable results before they reach customers.
Ability to translate engineering and planning practices into scalable product capabilities rather than relying on manual consulting-style studies.
Strong collaboration and communication skills, including the ability to explain complex engineering findings to technical and non-technical stakeholders.
Additional Relevant Experience
The following capabilities are strongly preferred:
Experience conducting or reviewing load and DER interconnection studies, including screening, system impact assessments, contingency performance, and service options.
Experience with large-load or data center interconnection, including phased energization and onsite generation or storage.
Knowledge of flexible and non-firm interconnection approaches, including conditional service, curtailment envelopes, and flexible connection agreements.
Experience converting distribution connectivity models at scale using CIM, GIS, or vendor exports.
Familiarity with AMI interval data, 8760 forecasting, DER hosting capacity, N-1 analysis, and switching studies.
Strong Python skills, particularly for profiling numerical code at scale.
Experience evaluating or integrating commercial power flow solver SDKs.
A background in utility consulting or EPC environments, ideally with exposure to multiple utilities.
Competitive compensation.
Benefits package.
Opportunities for professional growth and development.
Remote working arrangement based in India.
Opportunity to shape how utilities plan and manage distribution grids amid electrification, DER adoption, and increasing data center demand.
Work at the intersection of artificial intelligence, data, and power systems engineering.
Opportunity to serve as the grid engineering authority for a product that transforms utility data into practical planning decisions.