Principal Software Engineering - Test System Modernization

General Motors Corporation; Markham; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare benefits

Pension plan

Vehicle Purchase Plan

Job summary

General Motors in Markham, Ontario, is seeking a Principal/Staff Software Engineer to lead the modernization of a large-scale embedded software test system. You will define and standardize a fully automated, headless framework across virtual and physical environments to enable full-suite testing multiple times per day.

You will steer architecture across teams, build APIs, integrate test management, and elevate CI/CD pipelines, test analytics in Databricks, and diagnostic tooling.

Qualifications

• Bachelor's degree in computer science or engineering, or equivalent.
• 10+ years validating software systems with architecture leadership.
• Experience with embedded software, real-time systems, and CI/CD pipelines.

Responsibilities

• Lead modernization of a large-scale embedded software test system.
• Define a standardized, automated headless framework across virtual and physical environments.
• Develop APIs and integrations connecting test execution, management, and diagnostics.
• Improve test robustness, failure triage, and deployment efficiency in CI/CD.
• Mentor teams and communicate cross-functionally.

Skills

Embedded systems

Linux

Git

Python

Robot Framework

Containers

Infrastructure as code

CI/CD pipelines

Embedded test automation

Databricks

Education

Bachelor's degree in CS/Engineering

Master's or PhD preferred

Tools

Databricks

Robot Framework

Job description

## Principal Software Engineering - Test System ModernizationApply: Remote/Hybrid: Markham, Ontario, Canada: Full time: Posted Today: JR-202621739**Job Description****Vacancy Status:**This posting is not for an existing vacancy within the organization and is open to new applications. **AI Disclosure:**As part of the application process, Artificial Intelligence will be used in the hiring process for this role **Work Arrangement**:Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum. **The Role**General Motors is seeking a Principal/Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined vehicles. This role is for a hands-on technical leader who can turn ambiguous, cross-team problems into durable architecture, practical standards, and measurable improvements in engineering effectiveness, release confidence, and product quality. The successful candidate will lead a major capability across multiple teams, influence technical direction beyond their immediate organization, and connect software, tooling, infrastructure, test, and release activities into a coherent engineering system. **What You'll Do (Responsibilities):** * Be a critical leader of software engineering productivity and effectiveness.* Identify opportunities, strategies, process improvements, and lead the change.* Be hands-on by leading high impact efforts.* Be a strong communicator, coach, and mentor.* Analyze unusual and difficult problems effectively.* Ability to connect multiple initiatives together to deliver higher value.* Visualize required innovation, learning and simplification in this space and transition the team to execute what is required to achieve.* Maintain command skills and empathy at the same time.* Lead the modernization of a large-scale embedded software test system.* Define and modernize a standardized, fully automated, headless framework across virtual and physical environments to enable full-suite testing multiple times per day.**Key Deliverables** * Define the architecture and roadmap for standardized test execution, configuration and variation management, traceability, quality gates, regression selection, and results reporting.* Establish change-impact analysis and risk-based regression strategies using Gears, Pure Variants, or equivalent tools to determine test applicability and optimize re-testing.* Standardize test-result schemas, metadata, diagnostics, and artifacts; enable storage in Databricks for analytics, trend analysis, data mining, and reporting.* Develop APIs and integrations connecting test execution, test management, issue tracking, failure triage, and diagnostic tools* Improve test robustness, failure triage, execution speed, and deployment efficiency across CI/CD pipelines and physical and virtual test environments.**Measures of Success** * Faster, more reliable test deployment and execution.* More efficient regression testing through accurate change-impact analysis.* Standardized, traceable test results accessible through Databricks and documented APIs.* Faster failure identification, triage, and resolution.* Clear test applicability across software, hardware, configuration, and platform variants.**Qualifications/Requirements** * Bachelor's degree in computer science, computer engineering, electrical engineering, software engineering, systems engineering or a related technical field; or equivalent practical experience.* Typically, 10+ and 15+ more years experience validating software systems, including substantial experience leading architecture across organizations.* Deep understanding of software architecture for real time systems.* Experience shipping high quality safety critical products.* Experience architecting large-scale CI/CD, embedded test automation, and build-to-test pipelines.* Expertise in variation management, configuration comparison, change-impact analysis, and risk-based regression testing.* Experience with test-result data modeling, Databricks, analytics, data mining, and API development.* Proficiency with embedded systems, Linux, Git, Python, Bash, Robot Framework, containers, and infrastructure as code.* Demonstrated ability to integrate automated diagnostics and issue-management workflows.**People Skills:** * Exceptional problem-solving and analytical abilities, with a keen attention to detail.* Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.* Demonstrated ability to work in an action-oriented decision-making environment.**What Will Give You a Competitive Edge (Preferred Qualifications):** * Master’s degree or PhD in Computer Science, Software Engineering, Machine Learning, AI, or a related field.* Experience in embedded software development, automotive software, systems engineering, or safety-related toolchains.* Familiarity with GM engineering tools, engineering workflows, or internal platform environments.* Experience building AI assistants, coding agents, or domain-specific AI capabilities for engineers.* Experience with knowledge systems, vector search, ranking, workflow orchestration, or code intelligence platforms.* Experience supporting large engineering communities through reusable tools, templates, and automation.* Experience evaluating AI quality in production systems using measurable outcomes such as acceptance rate, time saved, precision and recall, hallucination reduction, or workflow completion rate. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. **Benefits Overview** The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:* Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;* Healthcare, dental, and vision benefits;* Life insurance plans to cover you and your family;* Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;* GM Vehicle Purchase Plan for you and your family