Jobs
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Work on IC product qualification and plan and drive execution. Perform data analysis, characterization and fault isolation to figure out root cause of issues and define and direct design of experiments.
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Perform yield analysis and correlation analysis for all levels of tests. Perform statistical analysis during product ramp up.
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Define and finalize production screening guard-band specifications, appropriate test conditions based upon product design intent and characterization results.
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Work with cross-functional teams in driving suppliers to product qualification, initial yield ramp and manufacturing ramp.
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Work with cross-functional teams on failure analysis and debug of field issues and deliver engineering data and reports supporting Return Material Authorization (RMA) process.
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Bachelor's degree in Mechanical/Computer/Electrical Engineering, Computer Science or equivalent practical experience.
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4 years of experience in product engineering, test engineering, or failure analysis for SoC or ASIC products.
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Experience with semiconductor manufacturing, wafer processing, chip packaging, or product reliability.
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Experience with manufacturing yield or RMA.
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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
68%
Recommend to a friend
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
57,502 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 per 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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