Software Test Engineer, Virtualization - SIL

General Motors (GM)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Milford, MIWarren, MI
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 17, 2026

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Similar $182k
$134k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $147,743–$217,150.

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 168 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 60 roles with salary data.

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At a glance

TL;DR · Software Test Engineer, Virtualization - SIL

Software Test Engineer (Virtualization - SIL) - ADAS Virtualization Deployment joins the ADAS DRIVE organization to focus on the development and readiness of Software-in-the-Loop test environments for ADAS feature validation. The role involves building capabilities in SIL environments, creating initial scenarios and scripts, executing tests, and debugging results to reduce reliance on physical benches and vehicles. You will collaborate with infrastructure and capability teams to integrate new software, vECUs, and models into package configurations while automating test cases using X-Ray and CGs. Key technical requirements include proficiency in Python, MATLAB, or C/C++, along with experience in vehicle dynamics and active safety concepts. The role also involves utilizing simulation tools for data analysis, managing co-simulation methods like FMI or Protobuf, and working with communication protocols such as CAN, LIN, and Ethernet to solve complex automotive software challenges.

What you'll do

  • Develop and configure Software-in-the-Loop (SIL) test environments for ADAS feature validation.
  • Create initial scenarios and scripts to evaluate the readiness of virtual testing environments.
  • Evaluate requests to integrate new ADAS software, vECUs, and models into SIL configurations.
  • Provide requirements to infrastructure teams to expand capabilities within simulation environments.
  • Automate test cases following established procedures using X-Ray and CGs tools.
  • Reproduce issues in SIL environments and triage results with feature owners and systems engineers.
  • Develop automated processes for analyzing test result data.
  • Create documentation, how-to guides, and training materials for SIL usage.

What we're looking for

  • Bachelor of Science degree in Engineering, Computer Science, Physics, Math, or a related technical field.
  • 5+ years of engineering experience in software testing, simulation of embedded systems, or control systems.
  • Fundamental understanding of active safety, ADAS concepts, vehicle dynamics, or automated driving technology.
  • Basic experience with programming or scripting using Python, MATLAB, C, or C++.
  • Ability to use computer-based simulation tools to run tests and analyze data.
  • High level of oral and written communication skills for documentation and collaboration.
  • Master’s degree or additional coursework in Embedded controls, ADAS, or Autonomous systems (preferred).
  • 7+ years of experience in software testing, simulation, test automation, or validation (preferred).

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