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.
- Robust 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.

📌 Modeling and Simulation Engineer (Karnataka)
🏢 SWITS DIGITAL Private
📍 Karnataka