Hiring.Camp

Product Quality Engineer - São Caetano do Sul - BRA

General Motors

·

Today

Location
Sao Caetano do Sul Tech Ctr - Tech Center Bldg 20, Brazil
Workplace
Hybrid
Type
Full-time
Department
Engineering
Closing date
Today
Source
Workday

Description

Job Description

Work model: This position will be on-site three days a week (Tuesday through Thursday).

We are looking for a Product Quality Engineer to lead data-driven, customer-focused problem solving on vehicle field performance. You will use advanced analytics, AI-enabled insights, and structured quality tools to quickly identify, prioritize, and eliminate customer pain points, improving satisfaction, the customer experience, and warranty performance.

You will have the opportunity to work with full vehicle content and learn from every major system, while navigating across multiple business areas – from design and manufacturing to logistics, sales, and call centers. If you enjoy having an end-to-end view of the product, this role is for you!

What You’ll Do

  • Drive the quality agenda in cross-functional program forums, ensuring safety and key quality risks are clearly framed, owned, and resolved in a timely manner.

  • Lead investigations of priority customer issues (warranty, VOC, field data, incidents) from problem definition to containment, root cause, and permanent corrective action.

  • Analyze multi-source data (warranty, DTCs, telematics, plant, field reports, surveys) to find patterns, risks, and priorities.

  • Apply structured problem-solving tools (Red X / DFSS, 8D, DMAIC, FMEA) to secure sustainable fixes.

  • Use AI and digital tools (copilots, dashboards, basic ML) to accelerate detection, prioritization, and decision-making.

  • Influence Engineering, Manufacturing, and Suppliers to implement design / process changes that prevent recurrence.

  • Monitor and report key quality KPIs and action effectiveness, providing clear status and recommendations.

  • Build and champion strong relationships across multiple functions and regions, managing conflict and influencing outcomes without direct authority.

Key Competencies and Behaviors

  • Analytical & Data-Driven: Structures complex problems, uses data and logic, applies sound judgment on methods, risks, and trade-offs.

  • Customer-Centric: Keeps customer impact at the center, using field performance and feedback to set priorities.

  • Fast, Structured Problem Solving: Quickly frames issues, applies Red X / DFSS, 8D, DMAIC, FMEA, and escalates when needed.

  • Innovative & Digital: Uses design thinking, experimentation, AI, and modern data tools to simplify and improve quality solutions.

  • Results-Oriented Leader: Owns outcomes end-to-end, sets clear success criteria, follows through, and measures impact on customers and business.

  • Customer Experience mindset – Champions an end-to-end, best-in-class customer journey, collaborating closely with key stakeholders (Contact Center, Services, Warehouse) to ensure issues are resolved with speed, empathy, and long-term satisfaction in mind.

Qualifications (Required)

  • Bachelor’s degree in Engineering and Active registration (CREA)

  • Experience in quality, product development, field performance, or similar roles dealing with customer issues.

  • Proven experience using data analysis and structured problem solving to resolve complex technical or systemic issues.

  • Proficiency with data tools (e.g. Excel, Power BI, SQL, Python/R or equivalent) and comfort with large datasets.

  • Working knowledge of quality / issue resolution tools (Red X, DFSS, 8D, FMEA, control plans, SPC).

  • Strong English communication skills; able to translate complex topics for technical and non-technical audiences.

  • Demonstrated ability to collaborate and influence across functions and levels without direct authority.

  • Enjoys a dynamic routine and is recognized for the strong drive for results, ownership, resilience, and urgency in improving customer experience and business results.

Qualifications (Preferred)

  • Master’s degree in relevant technical or data discipline.

  • Experience with automotive development and/or manufacturing (GVDP, GPDP, APQP, launch, validation, field actions).

  • Practical exposure to AI / ML concepts or advanced analytics platforms.

  • Certifications in structured problem solving and/or OpEx (Red X, DFSS, Six Sigma, Lean, OpEx).

  • Experience in multi-country or regional environments; Spanish a plus.

#LI-PR

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 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}. 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.

Skills

PythonSQLExcelPower BISix Sigma

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Product Quality Engineer - São Caetano do Sul - BRA at General Motors | Hiring.Camp