Scientist, System Optimization & Stability

Job Description

Job Title: Research Scientist, System Optimization and Stability. Location: Goleta, CA, USA

You will work at the intersection of quantum computing, machine learning, and system optimization to improve the performance and reliability of multi-qubit systems.

Responsibilities:

• Develop, deploy, and maintain software tools for calibrating, controlling, and stabilizing multi-qubit systems.
• Improve and maintain the health of the software codebase to support users beyond the team;
• Design and run experiments to test and enhance the performance of superconducting qubit systems.
• Use data-driven methods to model, benchmark, and debug quantum hardware performance;
• Collaborate with engineers and scientists across disciplines to advance quantum computing capabilities.
• Publish and present research findings within Google and the broader scientific community.

Qualifications:

• PhD in Physics, Engineering, or a related technical field, or equivalent practical experience.
• At least 2 years of experience in quantum information science or quantum technology research.
• Experience developing software for data analysis, modeling, or machine learning;
• Proven record of research publications or technical contributions to the field.
• Experience programming in Python in a collaborative environment;
• Understanding of quantum gates, readout processes, and control optimization in superconducting qubit experiments.
• Familiarity with modeling, control, and benchmarking of multi-qubit systems.

Benefits and information:

The U.S. base salary range for this position is 166,000 to 244,000 dollars plus bonus, equity, and full benefits; Compensation depends on work location, experience, and education; Google provides health coverage, equity grants, paid time off, and professional development opportunities.