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Research Scientist, Superconducting Digital Electronics, Quantum AI

RoleMachine Learning
LevelMid Level
WorkOn-site
TypeFull-time
Posted3 weeks ago
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  • 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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About Google

Google

Google

Public

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

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per 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