Jobs
Benefits & Perks
•Parental leave program
•Learning and development stipend
•Annual team offsites
•Remote work flexibility
•Flexible PTO policy
Required Skills
SQL
PyTorch
TensorFlow
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.
This position requires onsite client-facing work in Guadalajara.
Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. Our Mechanical Product Design Engineering Team members work cross-functionally to design, build, and deploy the latest technology to support the needs of compute, storage, networking, and machine learning hardware.
Responsibilities
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Apply Root Cause Corrective Action (RCCA) fundamentals and collaborate with teams to help them understand and apply RCCA tools and principles and analyze/understand failure to resolve issues.
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Define and execute data collection activities for high complexity technical issues.
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Drive process design, optimization, and qualification activities of a manufacturing process for a component, part, or product.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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5 years of hardware, design and bring-up, and NPI experience.
Preferred qualifications
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Master's degree in Engineering or related field.
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6 years of experience in hardware architecture, board design, board bring-up, devices and interconnects.
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5 years of experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.
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Experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.
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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%
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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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