Senior Software Architect - Mechatronic Infrastructure

General Motors•Milford, MI
•Hybrid

About The Position

General Motors is seeking a Senior Software Architect to define infrastructure software requirements, translate ECU-level requirements into deployable Solution and POD requirements, and build automated tests to validate them. The role leads across requirements, architecture, and verification, partnering with system engineers and software teams to ensure solutions are clear, testable, scalable, and ready for deployment. Strong use of AI and LLM tools to accelerate design, improve requirements and test quality, and streamline engineering workflows is a key differentiator. The position is categorized as hybrid. The selected candidate is expected to report to a specific location at least three times a week, or at another frequency dictated by their manager. Relocation benefits are available to candidates who qualify under company policy. GM does not provide immigration-related sponsorship for this role.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field, or equivalent experience.
  • At least 5 years of relevant software experience, including test automation for embedded or distributed systems.
  • Strong C++ and Python skills for test automation, tooling, or framework development.
  • Working knowledge of AUTOSAR Classic or similar embedded platforms.
  • Experience with CAN, LIN, Ethernet, UDS, and DoIP.
  • Strong understanding of the software development lifecycle, testing methods, and CI/CD.
  • Proven ability to turn complex behavior into testable requirements and drive issues to closure across cross-functional teams.
  • Experience using AI or LLM tools to improve engineering efficiency, design quality, or process flow.
  • Candidates must not require GM immigration sponsorship now or in the future, including the immigration support or work authorization examples listed in the posting.

Nice To Haves

  • Master’s degree in a related field.
  • 7–10 years of experience in embedded, infrastructure, or automotive software, ideally in SDV or similarly scaled architectures.
  • Experience with HIL systems, bench automation, vehicle testing, and service-oriented communication such as SOME/IP, DDS, or REST.
  • Experience extending automation frameworks, dashboards, and metrics.
  • Experience leading technical initiatives and mentoring engineers.
  • Strong practical use of AI and LLM tools for requirements generation, test creation, debugging, and faster development cycles.

Responsibilities

  • Lead technical direction for infrastructure areas such as Communications, Controller Safety, Cybersecurity, Data Management, Diagnostics, Programming, and Moding.
  • Break ECU-level requirements into clear, testable Solution and POD requirements.
  • Create Gherkin scenarios and develop reusable C++ and Python-based test automation.
  • Drive defect triage, root cause analysis, and continuous improvement across requirements, software, and validation.
  • Improve traceability, quality, and productivity through modern tooling, CI/CD, and AI-enabled engineering workflows.
  • Mentor engineers in requirements authoring, automation, AUTOSAR, diagnostics, and testing best practices.

Benefits

  • Relocation benefits are available for candidates who qualify under company policy.
  • GM describes benefits supporting employee well-being at work and at home and refers candidates to its Total Rewards resources.
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