Senior Software Architect - Mechatronic Infrastructure

General Motors; Warren (MI); Hybrid; USD 140,000 - 210,000; Full time

Job summary

General Motors seeks a Senior Software Architect to define infrastructure software requirements, translate ECU-level requirements into deployable Solution and POD requirements, and build automated tests for validation. This role leads cross-functional teams across requirements, architecture, and verification to ensure clear, testable, scalable solutions ready for deployment.

The ideal candidate has 5+ years in software, strong C++ and Python skills for test automation, AUTOSAR experience, and

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or related field, or equivalent experience.
• 5+ years of software experience including test automation for embedded or distributed systems.
• Strong C++ and Python skills for test automation, tooling, or framework development.

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.

Skills

5+ years experience

Test automation

Leadership

AI/LLM usage

Cross-functional collaboration

Education

Bachelor's degree in CS/Software Eng/ECE

Master's degree (preferred)

Tools

C++

Python

AUTOSAR

CAN/LIN/Ethernet/UDS/DoIP

CI/CD

AI/LLM tools

Job description

Job Description

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.

What You’ll Do

• 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.

Required 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.

Preferred Qualifications

• 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.

Relocation and Hybrid Work

GM does not provide immigration-related sponsorship for this role. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). 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. Relocation benefits are available for candidates who qualify under company policy.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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.

Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.