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Senior Research Scientist, Superconducting Qubit Measurement, Quantum AI

Google

Senior Research Scientist, Superconducting Qubit Measurement, Quantum AI

Google

·

On-site

·

Full-time

·

1w ago

  • Calibrate and characterize superconducting qubits and mixed signal circuits including transmon, fluxonium, or single flux quantum (SFQ) superconducting circuits.

  • Build and maintain software related to the control and analysis of these superconducting circuits.

  • Design novel control schemes to calibrate qubits and interface with novel superconducting electronics.

  • Partner with design, fabrication, and measurement teams to validate fully integrated quantum processors.

  • Author high-quality research papers and present findings at leading scientific conferences to advance the state-of-the-art and enhance publicity.

  • PhD in physics, electrical engineering, or a related engineering discipline or equivalent practical experience.

  • 3 years of research or industry experience.

  • Experience performing measurements of superconducting qubits or superconducting digital logic circuits.

  • Experience coding in Python.

  • At least one published research paper and one presentation at a relevant scientific conference.

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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