HIL Test Senior Engineer

Daimler Truck Innovation Center India (DTICI); Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Daimler Truck Innovation Center India (DTICI) in Bengaluru seeks a Control Systems Engineer focused on plant modeling, physical system modeling, and Hardware-in-the-Loop (HIL) testing. You will develop high-fidelity plant models, validate embedded controllers in HIL environments, and verify vehicle control strategies through rigorous simulation and testing.

The role requires creating dynamic models for subsystems, calibrating models with test data, and enabling continuous integration and

Qualifications

• Proficiency in creating physics-based and data-driven plant models.
• Experience with HiL test rigs and real-time simulation.
• Ability to calibrate models using experimental data.

Responsibilities

• Develop mathematical and physics-based plant models for vehicle systems.
• Create dynamic models for powertrain, braking, steering, battery, thermal, hydraulics, and air systems.
• Perform model calibration using test data and validate against vehicle measurements.
• Support model reuse across simulation and HiL platforms.
• Create first-principle and data-driven models for sensor, actuator, and fault simulation.
• Configure and maintain HiL simulation environments and integrate ECU hardware with real-time simulation.
• Develop automated test procedures and validation strategies and execute testing (functional, integration, robustness, regression).
• Ensure traceability between requirements, models, and test cases; document findings and provide corrective actions.

Skills

Plant modeling

Physical system modeling

HIL testing

Model-based development

Vehicle system simulation

ECU hardware integration

Test automation

Tools

HiL platforms

Job description

Control Systems Engineer with strong expertise in Plant Modeling, Physical System Simulation, and Hardware-in-the-Loop (HIL) testing. The candidate will be responsible for developing high-fidelity plant models, supporting model-based development activities, validating embedded controllers in HIL environments, and ensuring system-level verification of vehicle functions and control strategies.

1. Plant Modeling & Simulation

• Develop mathematical and physics-based plant models for vehicle systems.
• Create dynamic models for powertrain, braking, steering, battery, thermal, hydraulics, and air systems.
• Perform model calibration and parameter estimation using test data.
• Validate plant model accuracy against vehicle and subsystem measurements.
• Support model reuse across simulation and HiL platforms.

2. Physical System Modeling

• Create first-principle and data-driven models representing real-world vehicle behavior.
• Develop sensor, actuator, environment, and fault simulation models.
• Perform model correlation and sensitivity studies.
• Support digital twin and virtual validation initiatives.
• Define model assumptions, limitations, and validation criteria.
• Configure, commission, and maintain HiL simulation environments.
• Integrate ECU hardware with real-time simulation platforms.
• Develop automated test procedures and validation strategies.
• Execute functional, integration, robustness, and regression testing.
• Perform fault injection and diagnostic validation.
• Support continuous integration and automated verification pipelines.
• Ensure bidirectional traceability between requirements, models, and test cases.
• Analyze test results and investigate deviations.
• Document findings and provide recommendations for corrective actions.
• Support release readiness and validation sign-off activities.

5. Cross-Functional Collaboration

• Collaborate with controls, software, systems, and vehicle engineering teams.
• Participate in design reviews and system architecture discussions.
• Support issue triaging and root cause analysis.
• Drive continuous improvement initiatives in simulation and testing processes.