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Virtualization Engineer – SIL​/Virtual ECU; Automotive

Job in Auburn, Lee County, Alabama, 36831, USA
Listing for: India
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    Software Testing, Python
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Virtualization Engineer – SIL / Virtual ECU (Automotive)

About the Role

We are seeking a Virtualization Engineer to develop and scale Software-in-the-Loop (SIL) and Virtual ECU environments that enable earlier integration, faster regression testing, and higher-quality software releases. This role supports software‑defined vehicle development and propulsion control systems innovation.

Key Responsibilities
  • Design, build, and maintain Soft ECU / Virtual ECU solutions for propulsion controllers
  • Develop, operate, and optimize SIL environments including integration, execution, and reporting
  • Automate virtual testing workflows including build support, execution, and regression reporting
  • Troubleshoot integration issues across tool chains, interfaces, and models
  • Partner with software, controls, systems, and validation teams to define requirements and increase adoption
Basic Qualifications
  • Bachelor’s degree in Electrical, Computer, Mechanical Engineering, Computer Science, or related field.
  • 5+ years in automotive/embedded virtualization (MIL/SIL/HIL, ECU virtualization).
  • Experience with virtualization/co-simulation tools (dSPACE/ETAS/Vector or similar).
  • Strong systems thinking, debugging skills, and experience integrating virtual ECUs with virtual networks/interfaces.
  • Experience working cross‑functionally in an Agile delivery environment.
Preferred Qualifications
  • Propulsion or electrified powertrain experience.
  • Familiarity with Linux and scripting (Python), Git-based workflows, and automated regression practices.
  • CAN/LIN/Ethernet concepts and related debugging/analysis tools.
  • Simulink/MBD, FMI/FMU, plant modeling exposure.
  • CI/CD tools and Docker familiarity.
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