Senior Software Architect – AI-Driven Infrastructure (Hybrid)

General Motors Corporation; Milford Charter Township (MI); Hybrid; USD 120,000 - 170,000; Full time

Job summary

General Motors seeks a Senior Software Architect to define infrastructure software requirements for mechatronic systems and translate ECU-level needs into deployable POD requirements.

You will create Gherkin scenarios and reusable C++/Python test automation, drive defect triage, and improve quality through modern tooling and AI-enabled workflows. The role requires leadership across architecture, verification, and cross-functional teams in a hybrid environment.

Qualifications

• 5+ years of relevant software experience, including 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 software development lifecycle, testing methods, and CI/CD.
• Experience using AI or LLM tools to improve engineering efficiency, design quality, or process flow.

Responsibilities

• Lead technical direction for infrastructure areas such as communications, 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.

Skills

C++

Python

AUTOSAR

Embedded systems

Test automation

AI/LLM tooling

CAN/LIN/Ethernet

Tools

Gherkin

CI/CD tooling

Job description

General Motors seeks a Senior Software Architect to define infrastructure software requirements for mechatronic systems and translate ECU-level needs into deployable POD requirements.

You will create Gherkin scenarios and reusable C++/Python test automation, drive defect triage, and improve quality through modern tooling and AI-enabled workflows. The role requires leadership across architecture, verification, and cross-functional teams in a hybrid environment.