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职位Google

Senior Research Scientist, Error Mitigation Theory, Quantum AI

Google

Senior Research Scientist, Error Mitigation Theory, Quantum AI

Google

·

On-site

·

Full-time

·

2w ago

About the job

This is a high-impact Senior Research Scientist role focused on path finding leading-edge techniques for practical quantum computation on Google’s processors. Leveraging a theoretical foundation, you will bridge the gap between abstract protocols and real-world hardware, developing methods that accelerate performance on current noisy processors and toward future error-corrected systems. In this role, you will have a scope of influence, leading the way in the theory, numerical modeling, and optimization of existing approaches while playing a key role in flagship quantum experiments. Your work will not only directly influence the trajectory of the field and the realization of quantum computation at Google.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $174,000-$252,000 + 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

  • Lead and drive the research and development of error mitigation, suppression, and protocols. Architect the theoretical mitigation frameworks for flagship experiments and demonstrations.

  • Bridge the gap to experiment by driving numerical simulations and modeling. Work in a tight feedback loop with experimentalists to solve the bottleneck problems defining the path to noise-free results.

  • Work across several Google teams to collaborate on real-world use by the teams and the research community.

  • Pioneer and publish high-impact findings. Facilitate impact on experiments and the research community, through proactive, clear communication across theoretical and experimental teams and conferences.

Minimum qualifications

  • PhD degree in Physics, Computer Science, Engineering, Quantum Information Science, or a related technical field or equivalent experience.

  • 2 years of experience in Quantum Computing, Chemistry, Computational
    Physics, Mathematical Modeling, or Applied Mathematics.

  • Experience in noisy quantum systems, quantum noise modeling, and error mitigation/suppression techniques.

  • Experience with experimental operation of quantum systems.

Preferred qualifications

  • Experience contributing to or leading projects within large-scale industry or scientific collaborations.

  • Experience in quantum protocols, characterization methods, and advanced error mitigation or suppression techniques.

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关于Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense