Software Test Engineer (Virtualization - SIL) - ADAS Virtualization Deployment
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
About General Motors
Global automaker selling Chevrolet, GMC, Cadillac, and Buick vehicles, plus financing and connected services, while shifting into EVs and driver assistance.
Public · 5000+ people
Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
Job Description The Role: The ADAS Virtualization Deployment team is part of the ADAS DRIVE organization which is responsible for the design, requirements, integration, validation, and execution of ADAS products. Joining our organization will provide you with the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. As a Software Test Engineer – Virtualization in the ADAS Virtualization Deployment team, you will focus on capability development and readiness of Software‑in‑the‑Loop (SIL) test environments to support ADAS feature testing / validation. You will work with simulation tools and multiple teams (Simulation Tools and Infrastructure, ADAS capability and execution teams) to help build required capability in SIL environment, create initial scenarios / scripts and execute initial testing, improve SIL based test
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Job Description The Role: The ADAS Virtualization Deployment team is part of the ADAS DRIVE organization which is responsible for the design, requirements, integration, validation, and execution of ADAS products. Joining our organization will provide you with the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. As a Software Test Engineer – Virtualization in the ADAS Virtualization Deployment team, you will focus on capability development and readiness of Software‑in‑the‑Loop (SIL) test environments to support ADAS feature testing / validation. You will work with simulation tools and multiple teams (Simulation Tools and Infrastructure, ADAS capability and execution teams) to help build required capability in SIL environment, create initial scenarios / scripts and execute initial testing, improve SIL based test environments that enable early testing / validation and reduce dependence on physical benches and vehicles. What You'll Do (Responsibilities): Support the capability development, program specific configuration, test results / issues debugging and initial test execution of assigned ADAS feature on SIL environment Support creation of scenarios and test execution to evaluate the readiness and capability of virtual environment for testing / validation Evaluate any new requests for adding or updat [... source excerpt omitted ...] ns learned, escalating risks and informing stakeholders of status, timing, risks, and technical issues / roadblocks Additional Job Description: Your Skills & Abilities (Required Qualifications): Bachelor of Science degree in Engineering, Computer Science, Physics, Math, or related technical field 5+ years of overall engineering experience related to 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 (e.g., Python, MATLAB, C/C++) Strong ability to work with computer-based simulation tools to run tests and ana [... source excerpt omitted ...] bility to learn new tools and processes quickly, handle multiple tasks / projects and follow through on deliverables / commitments What Can Give You a Competitive Edge (Preferred Qualifications): Master’s degree or additional coursework in Embedded controls, ADAS, Autonomous systems or related areas 7+ years of overall engineering experience related to software testing, simulation of embedded systems or control systems, test automation, validation Exposure to SIL environments, vehicle simulation tools, or virtual ECU testing Familiarity with co-simulation methods such as FMI or Protobuf Experience in modeling within physics-based simulation environments, preferably in the automot
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