Senior Software Architect - Mechatronic Infrastructure

About the role

We are seeking a Senior Software Architect to define infrastructure software requirements, translate ECU-level requirements into deployable Solution and POD requirements, and build the automated tests that validate them. This 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.

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.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field, or equivalent experience.
• 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 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.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field, or equivalent experience.
• 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 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.

Skills

• Strong use of AI and LLM tools to accelerate design, improve requirements and test quality, and streamline engineering workflows.

Benefits

Not specified.

Pay

Not specified.

Schedule

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.

Accommodations

To request a reasonable accommodation during the application process, please email or call us at 1-800-865-7580.