Jobs
Benefits & Perks
•Flexible work arrangements
•Professional development budget
•Team events and activities
•Parental leave
•Generous paid time off and holidays
•Flexible Hours
•Learning
•Parental Leave
Required Skills
Python
PostgreSQL
JavaScript
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.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
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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Lead analysis of system hardware designs to enable proactive design evaluations and product de-risk at an early stage of development.
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Lead system reliability efforts by working with other organizations to define reliability goals and reliability plans, securing the resources needed to execute the plan.
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Implement the reliability plan and lead all efforts to assess and mitigate risk of failure early during New Product Introduction (NPI).
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Drive reliability test plans and collect, analyze, and synthesize the test data to enable verification of the design reliability goals.
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Lead system reliability monitoring efforts (availability, repair trends) and alert product teams on unwanted system behavior, working on mitigation strategy definition and implementation.
Minimum qualifications
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Bachelor's degree in Reliability Engineering, Electrical Engineering, Industrial Engineering, or Mechanical Engineering, or equivalent practical experience.
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5 years of experience in cloud quality and reliability engineering, computing or network infrastructure hardware, or relevant experience.
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Experience in Design Failure Mode and Effect Analysis (DFMEA), Design of Experiments (DOE), derating analysis, test plans, Ongoing Reliability Test (ORT), reliability block diagrams, and other system level reliability analysis tools.
Preferred qualifications
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Master's degree or PhD in Reliability Engineering, Electrical Engineering, Industrial Engineering, or Mechanical Engineering, or equivalent practical experience.
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Experience with failure analysis and fault isolation techniques and how to apply them to find root causes of failure.
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Experience leading cross-functional problem-solving teams using practical approaches.
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Experience in training on system level reliability tools such as Reliability Block Diagrams (RBDs), Mean Cumulative Function (MCF).
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Understanding of quality and reliability engineering principles.
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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
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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