Software Validation Engineer for PowerTrain components
AMG Petronas Formula One Team
3d ago


  • Requirement analysis & development of SiL / HiL Test specifications.
  • Test script development in Python.
  • Define and Drive new Test Concepts and Methodologies
  • Execution of the test scripts on the test setup (Eg : Sil / HiL) and analyze the test results
  • Perform different aspects of testing including functional, smoke, regression & performance testing
  • Develop tools and concepts to automate product & system testing
  • Perform Field condition simulations on test setup
  • Responsibilities

  • Works as a fully contributing team member under broad guidance
  • Responsible for development and implementation of project deliverables on time and on quality
  • Troubleshooting issues quickly and supporting the team to identify the root cause
  • Active contribution to Innovation (Product / Process / Business / Paper / Publication)
  • Bring in ideas for process / efficiency improvements
  • Qualifications

    Experience : 3 to 7 years

    Employment Type : Permanent

    Education : PG M.Tech / M.E. (Control Systems, Electrical Engineering)

    Role : Software Validation Engineer

    Project : DriveTrain Control Validation

    Business Unit : Mercedes Benz Cars Conventional / Electric Powertrain

    Technical Skills

  • Experience in
  • a) Requirement analysis, test scenario design, test case creation, test scripting and status reporting to stakeholders

    Software in Loop (Sil) and Hardware in Loop (HiL) testing & test automation

    B) Good system knowledge on Internal combustion, Transmission, Battery and power Train components

    b) System testing

    c) Testing techniques like White-box and Black Box testing

    d) different aspects of testing like functional, smoke, regression & performance testing

    e) Test script development using scripting languages : VB, Java, Perl, Python

    f) Documentation of Test results / logging defects

    i) Experience using explorative testing is an added advantage.

  • Knowledge on
  • a) Protocols : CAN / KWP / UDS / Flexray

    b) Diagnostics / OBD tests

    c) Functional Safety (ISO26262)

    d) Automotive components like sensors, actuators

    Special Skills

  • Good Knowledge of Control Systems and Hybrid Drives Topology
  • Tools

  • Requirements Management : DOORS
  • Configuration Management : SVN / GIT / PVCS / Clearcase
  • Measurement Calibration Diagnostic (MCD) : CANAPE / CANOE / Canalyzer / Candela Studio / INCA
  • Testing Tools : PROVETech, ControlDesk, Tessy
  • Script development : PROVETech TA programming, CAPL, Python / Perl
  • Programming Languages

  • Matlab / C / C++ / Python
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