招聘
Benefits & Perks
•Team events and activities
•Flexible work arrangements
•Parental leave
•Generous paid time off and holidays
•Competitive salary and equity package
•Flexible Hours
•Parental Leave
•Equity
Required Skills
JavaScript
Python
PostgreSQL
About the job
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
Google Quantum AI’s mission is to make useful quantum computing tools available to the world, enabling humankind to solve problems that would otherwise be impossible. Quantum AI is building novel systems that leverage quantum mechanics to outperform the world's largest computers at certain classes of problems.
In this role, you will be focusing on coordinating facility build-outs and implementing safety programs. You will be responsible for maintaining various facilities for quantum computers, ensuring equipment is serviced in accordance with manufacturers’ guidelines and in compliance with relevant permits. You will prioritize tasks while communicating with a wide range of internal and external stakeholders.
The US base salary range for this full-time position is $113,000-$161,000 + 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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Work closely with technicians and engineers on facility-related projects, maintenance, shutdowns, and emergencies.
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Assist the facilities team with following equipment maintenance procedures and service contracts in a high-tech environment.
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Determine space planning of equipment with necessary utilities and supporting infrastructure.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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3 years of experience in managing an industry lab (e.g., semiconductor fabrication or hardware research facility).
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3 years of experience with safety regulations and protocols in a research or lab environment.
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3 years of experience with maintenance of lab facilities including vacuum, or electrical test systems, liquid nitrogen, or other hazards/chemicals.
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3 years of experience overseeing electrical, mechanical, and plumbing construction in a research and development setting.
Preferred qualifications
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Knowledge of debugging skills.
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Familiar with using industry standard simulations and debug tools.
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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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