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Expert AUTOSAR Verification Engineer (SiL)

5-8 Years
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Job Description

Experience: 5 to 8 years

Location: Pune

Notice Period immediate to 45 Days.

Employment Type: Full-time

Role Overview

We are seeking an experienced Diagnostics Engineer with strong expertise in Expert AUTOSAR Verification Engineer (SiL) for automotive systems. The ideal candidate should own and execute software-in-the-loop verification for AUTOSAR software (SWCs, compositions, and interfaces) with repeatable automation and clear quality gates.

Keywords: SIL Verification, virtual ECU, MIL, SIL, AUTOSAR, dSPACE VEOS, Vector CANoe, CANalyzer

Key Responsibilities

  • Design SIL verification strategy and reusable harnesses for AUTOSAR SWCs and legacy runnables.
  • Implement contract-driven testing (interfaces, modes, diagnostics) and failure oracles.
  • Integrate virtual ECU execution (e.g., VEOS) with test automation and reporting.
  • Develop and maintain CI pipelines for regression, static analysis, and trend reporting.
  • Support interface smoke tests and network validation where required.

Must Have Skills & Qualifications

  • Education: Bachelor's degree in electrical/Electronic Engineering, Automotive Engineering, or related field.
  • Experience: Minimum 5 years in automotive diagnostics development.
  • Deep knowledge of MIL/SIL concepts and virtual ECU execution.
  • Hands-on experience with Simulink Test and building deterministic test harnesses.
  • AUTOSAR interface understanding (ARXML contracts, wiring, modes/diagnostics).
  • Exposure to tool ecosystems used in SIL/HIL (dSPACE, Vector) and automation.

Good To Have Skills

  • dSPACE VEOS (virtual ECU / SIL), Simulink Test Manager.
  • Vector CANoe/CANalyzer for interface smoke tests and rest-bus simulation.
  • Static analysis integration (e.g., Polyspace/Axivion) when applicable.
  • Scripting for automation (MATLAB/Python) and CI tooling.

Soft Skills

  • Strong communication and documentation skills.
  • Ability to work in cross-functional teams.
  • Detail-oriented and proactive approach to problem-solving.
  • Excellent problem-solving and analytical skills.

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About Company

Job ID: 144561595