Senior Power Systems Engineer

ABOUT BIDGELY

We are an AI-powered, cloud-based SaaS solution provider that enables electric, gas and water utilities worldwide to personalize customer experiences, optimize grid and customer operations, and accelerate their journey towards the clean energy future. Headquartered in Silicon Valley, we serve some of the biggest names in the energy and utilities industry across the USA, Canada, the EU, the Middle East, India, Japan, Australia and New Zealand. We hold 25+ energy patents, have raised $77M+ in funding, and bring a passion for AI to utilities serving 35M+ customers and meters around the world.

Bidgely Grid Intelligence brings that same data to the distribution grid. It turns AMI-derived, appliance-level demand into a capacity view of the grid that answers how many MW a location can support, and whether a new load or DER can connect there — and on what terms. As electrification, DER adoption and data center growth reshape the grid, utilities need those answers faster and with more confidence than traditional planning cycles allow.

Product overview: https://www.bidgely.com/utilityai/ · Grid: https://www.bidgely.com/solutions/der-grid-planning/

Position: Senior Power Systems Engineer — Grid Model & Power Flow

ROLE OVERVIEW

As a Senior Power Systems Engineer, you are a software engineer with deep power flow and grid planning expertise. You will build the product that lets utilities run capacity, scenario and interconnection studies — you will not run those studies by hand as a consultant would. You own the electrical correctness of everything the product produces, working alongside the Grid portfolio's software developers. Reporting to the Director of Engineering, with a dotted line to the Director of Product, Grid Planning, you will:

- Own how power flow is delivered inside the product: evaluate open-source and licensed solvers, recommend one, and integrate and operate it. We will not write our own solver.

- Build and maintain the capacity digital twin of the grid, including the data requirements and utility integrations that feed it.

- Build the scenario, forecasting, real loading and interconnection study capabilities planners use, on top of the twin and the power flow solution.

- Establish whether results are true: benchmark against sanctioned planning tools and field data, and defend results directly to utility planners and engineers.

- Run quick proofs of concept for grid planning solutions — a new study capability, a solver option or an interconnection approach — on a utility's own data in days, and turn what works into the production path.

KEY RESPONSIBILITIES

POWER FLOW SOLUTIONING

- Evaluate open-source and licensed power flow engines against real feeders; benchmark results and quantify differences.

- Document what each engine can and cannot do at Bidgely's scale, and make the open-source or license recommendation with evidence.

- Integrate the chosen engine into the product and own its fit with the rest of Grid Intelligence.

CAPACITY DIGITAL TWIN

- Build and maintain the capacity digital twin as a product capability: the engineered pipeline that turns a utility's connectivity model into a validated, versioned grid model the product runs studies on.

- Own the data need: define the network, asset, AMI, SCADA and forecast data the twin requires, the minimum viable data set, and how gaps are handled.

- Build the utility integrations that feed the twin — connectivity model exports (CIM, GIS and vendor formats), SCADA and AMI — and make them repeatable across utilities rather than bespoke per customer.

- Engineer meter–transformer–phase confidence and SCADA calibration into the twin, not as one-off analysis.

- Keep the twin scoped to capacity — not real-time operations or asset health — and versioned against the utility's system of record.

- Build the data-quality exception path so connectivity gaps surface as explicit flags, never as silently wrong numbers.

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