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Murali Krishnan

Murali Krishnan

Automotive Software Test Engineer | Infotainment & HMI | CAN, UDS, CANoe | Python Selenium (Learning) | EV Cockpit Validation

Talent
UdumalaippettaiMember since April 9, 2026
Infotainment TestingInstrument Cluster TestingFunctional TestingRegression TestingSystem TestingUATCANUDSVector CANoeJIRAXRAYQFILPCATAndroidLinuxQNXPythonSelenium WebDriverPytestMySQLAgileScrumCI/CDDefect Tracking
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Infotainment TestingInstrument Cluster TestingFunctional TestingRegression TestingSystem Testing

About

Automotive Software Validation Engineer with 2+ years of experience in infotainment and instrument cluster testing for EV cockpit systems. Skilled in HMI validation across Android, Linux, and QNX platforms with hands-on experience in CAN, UDS, and Vector CANoe. Strong expertise in requirement analysis, test case design, defect tracking, and end-to-end validation in Agile environments. Currently building automation skills using Python, Selenium, and Pytest.

Experience

Software Validation Engineer at Harita TechServ (Client: Mahindra & Mahindra Ltd.) (2024-07 – Present)

Performed end-to-end validation of infotainment and instrument cluster systems for Mahindra EV platforms

  • Performed end-to-end validation of infotainment and instrument cluster systems for Mahindra EV platforms
  • Executed testing across Android, Linux, and QNX environments
  • Analyzed CAN signals using Vector CANoe and UDS diagnostics
  • Designed and executed test cases based on CRS/URS requirements
  • Logged and tracked defects using JIRA with detailed analysis
  • Performed regression, functional, and system testing across releases
  • Supported software flashing, debugging, and issue validation
  • Contributed to automation learning using Python Selenium (basic scripts)

Education

Bachelor of Engineering in ECE – Sri Subramanya College of Engineering and Technology

Diploma in ECE – Rudhraveni Muthusamy Polytechnic College

Skills

Automotive Software Test EngineerInfotainment & HMICANUDSCANoePython Selenium (Learning)EV Cockpit Validation

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