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Location: Bengaluru
Company: Siemens
As a System Engineer – TCMS FDCU & EVR, you will be responsible for developing, integrating, and validating Fault Detection Control Unit (FDCU) and Event Recorder (EVR) functionalities for modern train control systems. You will work closely with cross-functional teams to ensure reliable diagnostics, fault handling, event logging, and monitoring functionalities across rolling stock platforms.
Your Roles & Responsibilities:
- Define and develop FDCU and Event Recorder functionalities within TCMS architecture.
- Alignment with component supplier and development of RArS, SWrS and Test specification.
- Analyse diagnostic logs, fault records, and communication traces for troubleshooting and root cause analysis.
- Support software integration, validation, on-vehicle testing, and commissioning activities.
- Coordinate with system, software, testing, RAMS, and cybersecurity teams for successful project execution.
- Prepare and review system specifications, interface documents, and test specifications.
- Ensure compliance with IEC 61131, IEC 61375, IEC 50128, EN 50657, and project requirements.
- Support customer discussions, technical reviews, and issue resolution activities.
- Contribute to improving diagnostics capability, reliability, and maintainability of train systems.
Desired Skills:
- Bachelor’s or Master’s degree in Electrical, Electronics, Instrumentation, Computer Science, or related engineering field.
- 5–10 years of experience in TCMS, rolling stock, diagnostics, or train control system engineering.
- Experience in development of control documents, RArS, SWrS, Etc.
- Hands-on experience with MVB, WTB, Ethernet, TRDP, and onboard communication protocols.
- Sound Knowledge of train subsystems such as traction, brake, HVAC, auxiliary systems, and vehicle control functions.
- Good understanding of railway standards such as IEC 61131, IEC 61375, IEC 50128, and EN 50657.
- Strong analytical, troubleshooting, and communication skills.
- Ability to work effectively in cross-functional and multicultural engineering teams.
- Exposure to predictive maintenance, condition monitoring, cybersecurity, or data analytics concepts will be an added advantage.
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