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Job Description

  • Bachelor’s degree in ECE, Computer Science, Engineering, or a related field.
  • Experience in SWE.4,SWE.6,SYS.5 testing with a strong focus on ADAS- L2,L2+,L3 software & systems V&V
  • Proven expertise in test automation and verification techniques across various test levels (unit, functional, integration and qualification testing).
  • Solid understanding of Functional Safety standards, particularly ISO 26262 and ASPICE process knowledge.
  • Strong programming experience in C++ (Version 11 and above), with emphasis on writing clean, modular, and testable code.
  • Proficient in Python, particularly using Pandas and NumPy for data manipulation, test result processing, and evaluations on datasets.
  • Hands-on experience with MATLAB, TPT, Google Test (GTest) for writing and running unit/component tests for C++ codebases.
  • Skilled in working with SIL model and test framework updates, including scenario generator and model integration.
  • Proficient with CarMaker or similar tools for generating road files, setting up test environments, and integrating with tools like Simax.
  • Familiarity with test evaluation logging
  • Competent in using SQL for querying evaluation data and supporting dashboard/report generation.
  • Experienced with GIT for version control, test script management, and collaboration workflows.
  • Comfortable using Linux command-line tools for tasks involving data handling, file operations, and interaction with DMAAS platforms.
  • Exposure to AI/ML concepts is considered a plus for future enhancements in test automation and analytics.
  • ISTQB Test Manager certification is a strong plus.
  • Experience with CI/CD tools such as GitHub Actions, Docker, and Jenkins is desirable.
  • Good to have experience with Vector tools (e.g., CANoe, CANalyzer), dSPACE, and HIL test environments.
  • Good to have: Knowledge and experience in AI/ML validation techniques, particularly in the context of perception systems and data-driven ADAS features.

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