Modeling and Simulation Engineer

Modeling & Simulation Engineer Electrical

Education: B.E./B.Tech in Electrical & Electronics Engineering

Relevant Experience: 5 7 Years

Location: Bangalore

Notice Period: Looking for Immediate Joiners / Serving Notice Peroid .

Key Competencies

• Electrical and Power Electronics
• Electrical Component and System Modeling
• 1D Physical Modeling and Simulation
• Dymola / Modelica
• GT-Suite
• Multi-Physics System Simulation
• Model Validation and Data Correlation
  
  

Job Summary

We are looking for a skilled Modeling & Simulation Engineer Electrical with 5 7 years of experience in developing and implementing 1D physical models and system-level architectures for electrical and power electronics systems.

The ideal candidate will have strong expertise in Dymola/Modelica and GT-Suite, along with a solid theoretical and practical understanding of electrical components, power electronics, electrical drives, and energy storage systems.

The role involves developing, simulating, validating, and optimizing complex multi-domain systems by integrating electrical models with thermal, fluid, and mechanical domains. The candidate will work closely with cross-functional engineering teams to define system requirements, perform model correlation, support virtual component sizing, and improve system performance.

Key Roles & Responsibilities Electrical Modeling & Simulation

• Develop and implement innovative 1D physical models for electrical components and systems.
• Model and simulate electrical and power electronic components, including:
• Inverters
• Converters
• Rectifiers
• Electric drives
• Induction, synchronous, and DC machines
• Batteries
• Fuel cells
• Chargers
• Other energy storage systems
• Develop dynamic component-level and system-level models using Dymola/Modelica and GT-Suite.
• Perform high-fidelity electrical system modeling and power balance analysis.
• Support virtual component sizing, subsystem integration, and multi-scenario system performance evaluation.
• Apply modeling techniques to support component selection, dimensioning, system architecture decisions, and platform reuse assessments.

Multi-Domain System Modeling

• Develop system-level modeling architectures that integrate electrical subsystems with:
• Thermal systems
• Fluid systems
• Mechanical systems
• Support multi-physics system simulations and virtual system integration.
• Analyze system interactions and assess the impact of electrical subsystem behavior on overall system performance.
• Develop models for applications such as performance prediction, range estimation, charging optimization, and system concept evaluation.

Model Validation & Correlation

• Validate simulation models through:
• Simulation results
• Time-series data analysis
• Experimental data
• Laboratory test results
• Perform model-to-test correlation and identify gaps between simulation and experimental results.
• Refine model structures, parameters, and simulation methods to improve accuracy.
• Establish and maintain model validation methodologies and simulation test procedures.
• Support compliance and engineering decisions through reliable model validation and data correlation.

FMI / FMU & Co-Simulation

• Apply Functional Mock-up Interface (FMI) standards for model exchange and co-simulation.
• Create, export, integrate, and manage Functional Mock-up Units (FMUs).
• Enable IP-protected model sharing across different software platforms.
• Develop and execute co-simulation frameworks involving:
• Dymola / Modelica
• GT-Suite
• MATLAB/Simulink and other MathWorks environments
• Troubleshoot co-simulation issues related to model compatibility, execution, communication, and numerical stability.

Model Optimization & Automation

• Develop optimization strategies for electrical system concept design and performance analysis.
• Apply model parameterization, model reduction, and custom coding techniques to improve simulation efficiency.
• Optimize 1D model architectures for:
• High-speed computation
• Real-time simulation
• Reduced CPU runtime
• Efficient system-level analysis
• Explore data-driven modeling approaches using AI/ML techniques.
• Develop surrogate models and artificial intelligence-based methodologies, including Artificial Neural Networks, where applicable.
• Evaluate and implement new tools, techniques, and automation methods to improve modeling workflows.

Documentation & Collaboration

• Collaborate with design, systems, controls, testing, and other cross-functional engineering teams.
• Support the definition of system requirements and modeling objectives.
• Prepare technical reports, presentations, model documentation, and simulation test procedures.
• Communicate simulation results, model assumptions, correlation gaps, technical risks, and project progress to stakeholders.
• Stay updated on advancements in 1D plant modeling, virtual system integration, model reduction, automation, and simulation toolchains.
• Contribute to continuous improvement of modeling and simulation processes.
  
  

Required Skills & Qualifications

• B.E./B.Tech in Electrical & Electronics Engineering or a related technical discipline.
• A Master s degree or Ph.D. in Electrical Engineering, Power Electronics, Mechatronics, Systems Engineering, or a related field is an added advantage.
• 5 7 years of relevant experience in electrical modeling, power electronics modeling, system simulation, or a related engineering domain.
• Strong hands-on experience with:
• Dymola
• Modelica
• GT-Suite
• Strong theoretical and practical knowledge of:
• Electrical engineering fundamentals
• Power electronics
• Electrical components
• Electrical system architecture
• System-level interactions
• Experience developing 1D physical models for electrical components and systems.
• Experience with model validation, simulation analysis, and correlation with experimental or laboratory data.
• Understanding of component sizing, electrical system performance, power balance, and subsystem integration.
• Experience optimizing model architectures for fast execution, real-time targets, and reduced CPU overhead.
• Knowledge of FMI/FMU standards and co-simulation concepts.
• Strong problem-solving, analytical, and critical-thinking skills.
• Good written and verbal communication skills.
• Ability to work independently and collaborate effectively with cross-functional engineering teams.

Preferred / Desired Skills

• Experience in electrical system modeling for HVACR, climate-control, refrigeration, automotive, or other electromechanical applications.
• Experience with MATLAB/Simulink and MathWorks environments.
• Knowledge of MATLAB-based automatic code generation.
• Experience with model reduction, parameter estimation, and surrogate modeling.
• Exposure to AI/ML-based model development and Artificial Neural Networks.
• Experience with real-time simulation and hardware-in-the-loop applications.
• Knowledge of charging strategy optimization, range prediction, trip-performance analysis, and energy management.
• Experience evaluating the reuse of existing electrical components on new product platforms.
• Experience working with global engineering teams and onsite project stakeholders.
  
  

Key Technical Competencies

• Electrical & Power Electronics Modeling
• Electrical Component Modeling
• Electrical System Architecture
• 1D Physical Modeling
• Dymola
• Modelica
• GT-Suite
• Multi-Physics Simulation
• Power Balance Analysis
• Electrical Drives Modeling
• Inverter / Converter / Rectifier Modeling
• Battery and Energy Storage Modeling
• System-Level Simulation
• Model Validation
• Test Data Correlation
• FMI / FMU
• Co-Simulation
• Model Parameterization
• Model Reduction
• Real-Time Simulation
• Simulation Optimization
• MATLAB / Simulink
• AI/ML-Based Modeling
• Surrogate Modeling
  
  

Soft Skills

• Strong understanding of engineering fundamentals.
• Self-motivated and capable of taking ownership of assigned activities.
• Ability to work effectively both independently and as part of a team.
• Strong written and verbal communication skills.
• Ability to prepare technical reports and deliver presentations to diverse audiences.
• Strong interpersonal and stakeholder-management skills.
• Ability to explain complex technical concepts clearly.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Good time management, planning, and organizational skills.
• Willingness to learn new tools, technologies, and engineering methodologies.
• Ability to work effectively with onsite teams and engineering stakeholders.
  
  

Industry Experience

Experience In The Following Industries Will Be An Advantage

• Heating, Ventilation, Air-Conditioning and Refrigeration (HVACR)
• Automotive and Electric Vehicles
• Power Electronics
• Electrical Systems
• Mechatronics
• Energy Storage
• Industrial Equipment
• Climate-Control Systems
  
  

Ideal Candidate Profile

The ideal candidate is an Electrical Modeling and Simulation Engineer with 5 7 years of experience in developing and validating 1D physical models for electrical and power electronics systems.

The candidate should be proficient in Dymola/Modelica and GT-Suite, with strong knowledge of electrical components, power electronics, system architecture, multi-physics modeling, FMI/FMU, co-simulation, model validation, and simulation optimization.

Experience in HVACR, automotive, electric vehicles, energy storage, or other complex electromechanical systems will be preferred.