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Research Scientist, Superconducting Digital Electronics, Quantum AI

职能机器学习
级别中级
方式现场办公
类型全职
发布3周前
立即申请
  • Design and simulate superconductor digital logic circuits such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families for generating waveforms tailored to qubit control and readout.

  • Develop superconductor digital logic systems enabling multiplexed qubit control and readout.

  • Address challenges in the large-scale integration of superconductor digital electronics such as multi-layer cell design, full-chip clock synchronization, flux trapping, and signal integrity.

  • Collaborate with teams focused on design, fabrication, and measurement to validate fully integrated quantum processors.

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

  • Master's degree in Electrical Engineering, Physics, other Engineering discipline, or equivalent practical experience.

  • Research or industry experience in the design and simulation of superconductor digital logic circuits.

  • Experience with one of the superconductor logic family (e.g., RSFQ, ERSFQ, HFQ, RQL, AQFP, and other related families).

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

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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

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

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

面试评价

9条评价

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