Software Test Engineer – Virtualization, ADAS Deployment

General Motors

. Support capability development, program-specific configuration, debugging of test results/issues, and initial test execution for assigned ADAS features in SIL environments .

Posted 10/1/2026full-timeMilford • Michigan • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in ADAS feature testing and simulation, with strong capabilities in programming, test automation, and data analysis. Proficient in collaborating with cross-functional teams to enhance testing efficiency and contribute to continuous improvement in virtual environments.

Highest-signal resume keywords

ADAS Testing and ValidationPython ProgrammingTest Automation and CI/CDSIL Environment ExperienceVehicle Simulation Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software TestingSimulation of Embedded SystemsData AnalysisTest Case AutomationMATLABC/C++ ProgrammingFMI Co-SimulationProtobuf Co-SimulationPhysics-Based SimulationAutomated Driving Technology

Soft Skills

Oral CommunicationWritten CommunicationMentorshipProblem-SolvingCollaboration

Tools & Technologies

X-RayGitJenkinsCAN CommunicationLIN CommunicationEthernet Communication

Industry Keywords

ADASVehicle DynamicsEmbedded ControlsAutonomous SystemsVirtual ECU Testing

Tech Stack

Tools & technologies

JenkinsPythonRayC++

About the role

Key responsibilities & impact

Support capability development, program-specific configuration, debugging of test results/issues, and initial test execution for assigned ADAS features in SIL environments
Create scenarios and execute tests to evaluate virtual-environment readiness and capability for testing/validation
Evaluate requests to add or update ADAS software, vECUs, models, and programs in SIL package configurations
Compile requirements for Simulation Tools and Infrastructure teams to update or add SIL capabilities
Support test-case automation following established test procedures in X-Ray / CGs
Work with feature owners, systems engineers, and calibration engineers to reproduce SIL issues and triage test results
Support automation of test-result data analysis
Contribute to SIL documentation and standard work, including how-to guides and user training
Identify opportunities to improve testing efficiency, coverage, and automation
Share status, risks, and learnings in reviews and stand-ups
Provide technical mentorship on SIL usage, test execution, and automation
Drive continuous improvement and innovation in ADAS virtualization capabilities
Communicate lessons learned, risks, status, timing, and technical roadblocks to stakeholders

Requirements

What you’ll need

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, such as Python, MATLAB, or C/C++
Strong ability to work with computer-based simulation tools to run tests and analyze data
High level of oral and written communication skills and ability to clearly document work
Ability to learn new tools and processes quickly, handle multiple tasks/projects, and follow through on deliverables/commitments
Must not require GM immigration sponsorship now or in the future, including H1-B, OPT, STEM OPT, CPT, TN, or J-1 sponsorship
Must be able to report to a specific location at least 3 times a week
Must be willing to travel less than 25%
Master’s degree or additional coursework in Embedded controls, ADAS, Autonomous systems, or related areas (preferred)
7+ years of related engineering experience (preferred)
Exposure to SIL environments, vehicle simulation tools, or virtual ECU testing (preferred)
Familiarity with FMI or Protobuf co-simulation methods (preferred)
Experience with physics-based simulation environments, preferably automotive (preferred)
Experience with test automation and CI/CD tools such as Git and Jenkins (preferred)
Familiarity with CAN, LIN, or Ethernet communication and basic vehicle diagnostics (preferred)
Experience with MATLAB/Simulink and Python for data analysis, tool development, or test automation (preferred)
Experience simulating ADAS features and components such as radar, camera, lidar, and sensors (preferred)

Benefits

Comp & perks

Hybrid work arrangement with reporting to a specific location at least 3 times a week (or frequency dictated by manager)
Opportunity to work on cutting-edge ADAS virtualization technologies
Collaboration with diverse teams of experts
Technical mentorship opportunities
Employee well-being and Total Rewards support
Inclusive workplace culture
Reasonable accommodations for applicants with disabilities