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Americas, United States, Goleta

Posted 137 days ago

Research Scientist, System Optimization and Stability, Quantum

🏢 Google

USD 166K - 244K per year

+3 benefits
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Role Type

🧪 Scientist / Researcher

Role Focus

🏗️ Build Systems

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

🏢 Industry

This Research Scientist position focuses on optimizing and stabilizing the performance of quantum processors by integrating quantum computing principles with software development and machine learning techniques. The scientist will be responsible for developing, deploying, and maintaining software protocols for calibrating, controlling, benchmarking, and debugging multi-qubit systems. The ultimate goal is to advance the mission of building a large-scale, error-corrected quantum computer capable of solving classically intractable problems. Furthermore, the role requires active participation in the wider research community through publishing and sharing findings.

Key Responsibilities

Develop, deploy, and maintain software for calibrating, controlling, and stabilizing multi-qubit systems.

Develop, deploy, and maintain software for benchmarking, analyzing, and debugging multi-qubit systems.

Improve and maintain the health of the team's Python software codebase for use by colleagues outside of the immediate team.

Author and publish research papers to share findings and generate organizational and community impact.

Required Skills

Two years of experience conducting research in quantum information science or technology.

Experience developing software for data analysis, modeling, or machine learning.

Experience leading to one or more publication submissions for conferences, journals, or public repositories.

Nice-to-have Skills

Experience developing Python software within a collaborative coding environment.

Experience handling quantum gates and readout in superconducting qubit experiments.

Experience developing, deploying, and validating machine learning routines.

Experience with modeling, control optimization, and benchmarking of multi-qubit systems.

Technology Tags

Superconducting Circuits

Experience with quantum gates and readout in superconducting qubit experiments is required.

State Control

Primary responsibility involves developing protocols for calibrating and controlling quantum processors.

Optimisation

The role title and description mandate experience with modeling and control optimization of multi-qubit systems.

Quantum ML

The job involves using machine learning routines at the interface of quantum computing and software for control.

Python

Explicitly preferred experience involves developing python software in a collaborative coding environment.

Device modelling

Experience is required with modeling and benchmarking of multi-qubit systems.

Error correction

The mission aims to build a large-scale computer capable of complex, error-corrected computations, supported by this role's stability work.