Embedded Systems Model Development Specialist

2 days ago


Ghaziabad, Uttar Pradesh, India beBeeModeler Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Title: Embedded Systems Requirements Lead – Automotive GatewayOverview:

The role involves leading the development and virtualization of sensor and actuator models for use in simulation environments.

This position requires collaboration across hardware, controls, diagnostics, and supplier teams to ensure robust, scalable, and accurate modeling of devices used in modern automotive systems.

Key Responsibilities:
  • Modeling & Simulation
    • Develop high-fidelity plant models of sensors and actuators using Simulink or equivalent tools.
    • Architect models for seamless integration into VHiL, HiL, SiL, and CoSim environments.
    • Define and maintain interface standards for model consumption across simulation platforms.
  • Data Acquisition & Characterization
    • Lead data collection efforts from physical devices to support model validation and performance characterization.
    • Analyze diagnostic responses and performance metrics to refine model behavior.
  • Testing & Validation
    • Define and execute test cases based on customer feedback and evolving model requirements.
    • Ensure model robustness by incorporating vehicle calibration variations and real-world operating conditions.
  • Change & Release Management
    • Manage model lifecycle including enhancements, release documentation, test coverage, and technical support.
    • Maintain traceability and version control across model updates.
  • Cross-Functional Collaboration
    • Coordinate with suppliers, hardware, controls, and diagnostics teams to gather and align requirements.
    • Balance short-term and long-term modeling fidelity needs between in-house and supplier-based solutions.
    • Harmonize virtualization requirements across vehicle and propulsion domains.
  • Requirements Definition
    • Define virtualization requirements for modeling, hardware, controls, and supplier ecosystems.
    • Translate calibration differences into robust model design strategies.


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