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Hitachi Energy

Global electrical transmission and grid modernization

R&D Modelling and Simulation Engineer - Multiple Teams

Power Systems EngineeringConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedHybrid

About the Job

Requirements

  • A Master’s degree in Electrical Engineering, Power Systems, or equivalent.
  • A minimum of 5 years of experience in power system modelling and simulation.
  • Excellent knowledge of EMT and RMS simulation tools, with mandatory proficiency in PSCAD and DIgSILENT PowerFactory.
  • Proven experience integrating original equipment manufacturer models into system-level simulation environments.
  • Proven ability to develop reusable modelling assets and support multiple stakeholders beyond single-project execution.
  • Solid understanding of power system dynamics, inverter-based resources, and battery energy storage system grid integration.
  • Ability to independently drive end-to-end modelling and simulation activities.
  • Strong collaboration skills in multidisciplinary and international teams.
  • Excellent communication skills in English.
  • A structured, analytical, and pragmatic engineering mindset.

Responsibilities

  • Act as the system-level modelling and simulation subject matter expert for GPQSS battery energy storage systems.
  • Provide independent technical judgment on model selection, fidelity, assumptions, and applicability to battery energy storage system solutions.
  • Ensure modelling approaches correctly represent overall system behaviour, performance, and limitations from an application perspective.
  • Serve as the technical reference and escalation point for modelling-related topics across GPQSS.
  • Integrate original equipment manufacturer-provided power conversion system, battery, and control system models into standardized GPQSS system-level templates.
  • Develop, maintain, and validate reference battery energy storage system models and solution packages for RMS and EMT simulations.
  • Execute solution validation studies to assess battery energy storage system performance, robustness, and compliance from an application and grid-interaction perspective.
  • Complement original equipment manufacturer models with in-house modelling where required to close gaps or increase simulation fidelity.
  • Deliver validated modelling packages intended as kick starters for tendering and project execution.
  • Provide methodology, validated models, and expert support to teams performing project-specific grid and system studies.
  • Technically steer and enable external consultants, power consultants, and project engineers to effectively use GPQSS modelling packages.
  • Support tendering and feasibility phases through interpretation of simulation results and clarification of modelling assumptions.
  • Support grid-code compliance assessments by providing reference models and validation frameworks, rather than executing full project studies.
  • Prepare and deliver training, documentation, and guidance on battery energy storage system modelling approaches, tools, and best practices.
  • Capture and disseminate lessons learned to continuously improve modelling templates and solution packages.
  • Contribute to cross-disciplinary alignment with System Architect, AC BoS, Battery Technology, and Automation roles.

Desired Qualifications

  • Experience with PSS®E for large-scale transmission or regional power system studies.
  • Experience with simulation automation or scripting using Python or MATLAB.
  • Exposure to grid impact studies and grid-code validation processes.
  • Experience working with external consultants, utilities, or transmission system operators.

About the Company

Hitachi Energy

Global electrical transmission and grid modernization

Hitachi Energy provides systems and solutions for transmitting and distributing electricity. It sells and implements equipment such as transformers, high‑voltage gear, and grid automation tools that help move power from generation sites to homes and businesses. Its offerings include hardware and software that monitor, control, and optimize electrical grids, with AI, data analytics, and automation to improve efficiency and reliability. The company differentiates itself by combining its global engineering footprint with advanced digital technologies and a broad portfolio that covers transmission, distribution, and grid optimization, backed by a presence in more than 140 countries and a workforce of over 40,000. Its goal is to support a cleaner, more flexible, and carbon‑neutral energy future by modernizing infrastructure and integrating renewable energy sources.

Company size
10,001+
Company stage
Grant
Total funding
$22M
Headquarters
Zurich, Switzerland
Founded
1900

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