Software Test Engineer (Virtualization - SIL) - ADAS Virtualization Deployment
General MotorsResponsibilities
- Support SIL capability development, program-specific configuration, test-result debugging, and initial execution for assigned ADAS features.
- Create scenarios and execute tests to evaluate virtual-environment readiness and capability.
- Evaluate requests to add or update ADAS software, virtual ECUs, models, and programs in SIL package configurations.
- Provide requirements to simulation tools and infrastructure teams for SIL capability updates.
- Automate test cases using established procedures in X-Ray and CGs.
- Reproduce SIL issues and support test-result triage with feature owners, systems engineers, and calibration engineers.
- Automate test-result data analysis and identify opportunities to improve testing efficiency, coverage, and automation.
- Document SIL usage through standard work and how-to guides, provide user training, and mentor less experienced engineers.
- Communicate status, risks, learnings, timing, and technical roadblocks while contributing to continuous improvement of ADAS virtualization capabilities.
Requirements
- Bachelor of Science degree in engineering, computer science, physics, mathematics, or a related technical field.
- At least 5 years of engineering experience related to software testing, embedded-system or control-system simulation.
- Fundamental understanding of active safety, ADAS concepts, vehicle dynamics, or automated driving technology.
- Basic programming or scripting experience with Python, MATLAB, or C/C++.
- Strong ability to use computer-based simulation tools to run tests and analyze data.
- Strong oral and written communication, documentation, learning, multitasking, and delivery skills.
- Preferred: master’s degree or additional coursework in embedded controls, ADAS, autonomous systems, or related areas.
- Preferred: 7+ years of experience in software testing, simulation, test automation, or validation.
- Preferred: exposure to SIL environments, vehicle simulation tools, virtual ECU testing, physics-based modeling, ADAS sensor simulation, and MATLAB/Simulink or Python development.
- Preferred: familiarity with FMI, Protobuf, Git, Jenkins, CAN, LIN, Ethernet, and vehicle diagnostics.
Benefits
- Hybrid work arrangement requiring attendance at a specific location at least three times per week or as otherwise directed by the manager.
- Travel required for less than 25% of the role.
- No relocation benefits; relocation costs are the candidate’s responsibility.
- GM provides employee well-being and total rewards benefits, with details available through its Total Rewards resources.
- The role does not provide immigration-related sponsorship and is not eligible for sponsorship-dependent work authorization.
About General Motors
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html