Quality Engineering - Chassis/Powertrain

Job Description We’re on the journey to achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, and building quality trucks play an integral role in helping us fund this future. We’re looking for new team members to help bring this vision to life in Oshawa. We have a workplace where we work as One Team and embrace a diverse and inclusive workplace where everyone feels welcome and supported. We want those who are bold, innovative, ready to take on challenges, and strive for excellence. Join our team today! Key Responsibilities Perform early issue identification, tracking and resolution to ensure segment leadership Provide clear and timely communication to Quality management relative to quality issues Lead current product problem solving activities Deploy quality work according to planned development timing Work with the product team to identify and capture critical status updates for Quality reviews Facilitate Quality Review meetings and integrity of presentation materials Support GMNA Program Execution Team (PET) with quality analysis information Help Facilitate Program team Pre-CPIT / CPIT (Continuous Product Improvement Team) meetings Provide detailed analysis on every issue to champions for resolution and actively approach issues including warranty claims / CTF (Captured Test Fleet) Analyze, project and track warranty and customer survey information Support the development of the global quality planning process and templates Support Quality Deep Dives / Sector Reviews / Quality Councils Complete retrofit requests and support special quality studies Build and nurture relationships across multiple functions and regions Requirements Bachelor's degree in Electrical Engineering, Mechanical Engineering or related field Minimum 1-3 years quality engineering experience in a manufacturing environment Experience in automotive industry would be considered an asset Solid understanding of PPAP, PFMEA, & Control Plans, DMAIC High level of analytical ability where problems are unusual and complex Knowledge of engineering software and systems as it pertains to job-related area AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role. Vacancy Status: Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill) Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Oshawa on a full-time basis. 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 Compensation The salary range for this role is $76,100 to $114,300 The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 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. This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. 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. Non-Discrimination and Equal Employment Opportunities 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. 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. 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. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

The role involves performing early issue identification, tracking, and resolution while facilitating quality review meetings and continuous product improvement team activities. You will also analyze warranty and customer survey data to support global quality planning and cross-functional collaboration.

Candidates must hold a bachelor's degree in Electrical or Mechanical Engineering and possess 1-3 years of quality engineering experience in a manufacturing environment. Proficiency in automotive quality standards such as PPAP, PFMEA, and DMAIC is required.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Quality Engineering
• Issue Identification
• Problem Solving
• PPAP
• PFMEA
• Control Plans
• DMAIC
• Data Analysis
• Warranty Analysis
• Quality Planning
• Manufacturing Processes
• Automotive Engineering
• Technical Communication
• Project Tracking
• Engineering Systems
• Product Improvement
• Quality Analysis
• Workplace Inclusivity
• Process Failure Mode And Effects Analysis (PFMEA)
• Planning
• Analytical Skills
• Artificial Intelligence
• Electrical Engineering
• Automotive Industry
• Communication
• Define Measure Analyze Improve And Control (DMAIC)
• Leadership
• Innovation
• Mechanical Engineering
• Production Part Approval Process
• Quality Management
• Retrofitting

• Engineering
• Manufacturing
• Logistics
• Quality Engineer
• Product Quality Engineer
• Industrial and Production Engineers
• Validation Engineers
• Industrial Engineers

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week