Scientist, System Optimization & Stability

Job Description

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

Your role will focus on designing and improving systems for calibrating, controlling, and stabilizing multi-qubit quantum processors; You’ll collaborate with interdisciplinary teams to build tools that support the performance, scalability, and reliability of quantum systems.

Responsibilities:

• Build and maintain software for calibrating, stabilizing, and controlling multi-qubit systems.
• Improve software codebases to be reusable and reliable for broader internal users.
• Benchmark and debug quantum processors to ensure optimized performance;
• Analyze multi-qubit systems using machine learning and modeling tools.
• Write and publish research papers to share findings with the wider scientific community.

Qualifications:

• PhD in Physics, Engineering, or a related technical field, or equivalent practical experience.
• At least 2 years of experience conducting research in quantum information science or technology.
• Strong experience in software development for data analysis, modeling, or machine learning;
• Record of at least one publication (conference, journal, or public repository).

Preferred:

• Experience coding in Python, especially in team-based collaborative environments.
• Experience working with quantum gates and readout in superconducting qubit experiments.
• Familiarity with deploying and validating machine learning models;
• Background in control optimization, modeling, and benchmarking of multi-qubit systems.

Benefits / Instructions:

• Competitive base salary with bonus and equity options.
• Comprehensive benefits package (details provided during hiring process).
• Opportunity to contribute to groundbreaking work in quantum computing.
• Work with top-tier researchers and engineers across disciplines;
• Publish and present your research at leading academic venues.