Research Scientist, Optimization & Stability

Job Description

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

As a Research Scientist, you will work at the intersection of quantum computing, software, and machine learning; You will set up large-scale tests, deploy new ideas, and contribute to the global research community through papers and collaborations.

Responsibilities:

• Develop, deploy, and maintain software for calibrating, controlling, and stabilizing multi-qubit systems.
• Improve and maintain the software codebase for broader use, particularly in Python.
• Design, implement, and validate software for benchmarking, analyzing, and debugging multi-qubit systems.
• Publish and present research findings internally and externally, contributing to the wider scientific community.
• Collaborate with cross-disciplinary teams of scientists and engineers to advance quantum processor stability and performance.

Qualifications:

• PhD in Physics, Engineering, or a related technical field, or equivalent practical experience.
• At least 2 years of research experience in quantum information science or technology.
• Experience developing software for data analysis, modeling, or machine learning.
• At least one submission to conferences, journals, or public repositories.

Preferred:

• Experience developing Python software in collaborative environments.
• Hands-on experience with quantum gates and readout in superconducting qubit experiments.
• Background in developing, deploying, and validating machine learning routines.
• Experience in modeling, control optimization, and benchmarking of multi-qubit systems.

Benefits and Compensation:

• Competitive base salary: $166,000 – $244,000 (depending on location, skills, and experience).
• Bonus, equity, and comprehensive benefits package;
• Access to world-class research resources and collaboration opportunities with leading universities and institutes.