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Principal Software Engineering - Test System Modernization

  • 위치
    • Markham, Ontario
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202621739

설명

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

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.