Product Quality Engineer
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
This position offers significant value due to the high salary range, robust opportunities for technical leadership, and involvement in next-gen AI products.
- Competitive salary: $134,000–$198,000/year
- Lead initiatives in cutting-edge AI hardware
- Collaborative environment with diverse teams
- High experience requirement (5+ years)
Pros
- Salary range is competitive at $134,000–$198,000/year.
- Opportunity to impact cutting-edge AI projects.
- Chance to work with cross-functional teams at Google.
Cons
- High requirement level may limit candidate pool.
- Intensive workload due to leadership expectations.
- Potential for high-pressure situations in product quality assurance.
Who it's for
Mid / Senior • Onsite
Good fit
- Experienced hardware quality engineers
- Data analytics specialists
- Professionals seeking impactful tech leadership roles
Not recommended for
- Entry-level applicants without hardware experience
- Those not inclined towards data-driven decision-making
- Individuals seeking non-technical positions
Motivation fit
Key skills
About the job
Product Quality Engineer
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Mid
Minimum qualifications:
- Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, or related engineering discipline, or equivalent practical experience.
- 5 years of experience working in computing hardware quality, product engineering, or electronic hardware systems issue resolution.
- Experience in data analysis and visualization using SQL, JMP, or Python.
- Experience working with reliability and quality test data or manufacturing execution systems.
Preferred qualifications:
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a relevant engineering discipline.
- Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
- 7 years of experience in Hardware Quality, Reliability, Product Engineering, Test Engineering or Manufacturing of cloud hardware systems.
- Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
- Experience with advanced statistical or statistics based methodologies (e.g., design of experiments, statistical process controls, six sigma, etc.).
- Experience in technical leadership, project management, and executive communication.
About the job
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.In this role, you will require an understanding of modern data center hardware infrastructure, including design, manufacturing processes, and testing. You will lead cross-functional teams in a highly collaborative environment. You will extract and analyze data to generate insights and drive decisions.
Responsibilities
- Develop and execute the overall product quality strategy and assurance plans for next-generation AI hardware systems, collaborating with diverse stakeholders. Develop and manage comprehensive product quality requirements, scope, schedules, and deliverables.
- Own the overall product quality process, spanning internal and external development through successful deployment and production at scale, ensuring consistent quality across all stages.
- Develop predictive failure models using advanced statistical methods. Track key quality metrics and extract actionable insights using advanced analytics and statistical methods.
- Lead the resolution of product issues during manufacturing and field operations using structured problem solving techniques such as eight disciplines (8D).
- Communicate with cross-functional teams and management, distilling technical information into clear, concise presentations to facilitate informed decision-making and drive alignment on quality initiatives. Provide regular updates and reports on quality metrics and improvement initiatives.
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