Jobs
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Team events and activities
•Flexible work arrangements
•Equity
•Healthcare
•Flexible Hours
Required Skills
Node.js
React
TypeScript
About the job
Be part of a 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 ensure the flawless operation of hardware systems like AI computers, networking gear, and data storage from the initial concept through the end. You will collaborate with internal teams and manufacturing partners to build quality into every stage of product development, establish processes, and track and resolve field issues. You will require an understanding of modern data center hardware, including design, manufacturing, and testing. You will be a proactive problem-solver with a sense of ownership and the ability to lead cross-functional teams in a changing environment. You will have excellent communication and data analysis skills for driving product decisions and presenting to executive leaders.
This role requires US and International travel up to 20% of the time as needed, such as but not limited to North America, Texas, Atlanta, Wisconsin, Sunnyvale, Mexico, Europe (Czech, Poland, Germany).
The US base salary range for this full-time position is $115,000-$166,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Own the overall product quality process, spanning internal and external development through successful deployment and production at scale, ensuring consistent quality across all stages.
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Develop predictive failure models using advanced statistical methods. Track key quality metrics and extract actionable insights using advanced analytics and statistical methods.
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Lead the resolution of product issues during manufacturing and field operations using structured problem-solving techniques such as Eight Disciplines (8D).
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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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Develop and execute the overall product quality strategy and assurance plans for next-generation AI hardware systems, collaborating with stakeholders. Develop and manage comprehensive product quality requirements, scope, schedules, and deliverables.
Minimum qualifications
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Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience.
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Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
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5 years of experience with Printed Circuit Board Assembly (PCBA) and SQL.
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5 years of experience in quality, manufacturing, product engineering of cloud hardware technology or electronic hardware systems.
Preferred qualifications
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Master's degree or PhD in Electrical, Mechanical, Industrial, Materials or other relevant engineering field.
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Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
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Experience with manufacturing and field issues debug, root cause analysis and corrective actions.
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Experience with advanced statistical (or statistics based) methodologies (e.g., design of experiments, statistical process controls, six sigma etc.).
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Experience in technical leadership, project management, and executive communication.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
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Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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