Data Scientist, Integrated Circuit Calibration

Data Scientist, Quantum Integrated Circuit Design CalibrationLocation: Berkeley, CA or Fremont, CAResponsibilities:Design and implement industry-grade software infrastructure in Python to streamline feedback from measurement to the integrated circuit design team.Analyze empirical datasets from quantum processors and test devices to identify correlations between fabrication metrology data and processor performance.Leverage statistical analysis and machine learning techniques to accurately calibrate processor design parameters;Collaborate with engineers and scientists at Rigetti's quantum foundry to monitor and improve fabrication yield.Identify the highest-yielding candidate processors for subsequent testing and deployment.Qualifications:Undergraduate degree in Computer Science, Physics, Applied Physics, Electrical Engineering, or a related field.6+ years of experience in data science and statistical analysis in a scientific field, including handling both small and very large datasets.Strong programming skills in Python for scientific applications in collaborative or industrial environments;Experience with SQL or similar database querying tools.Ability to collaborate effectively with experimentalists to analyze and interpret experimental data.Excellent communication skills.Preferred:Knowledge or direct experience with integrated circuit fabrication, lithographic techniques, and optimization of fabrication processes.Experience in a technical role within an industry or startup environment.Benefits and Compensation:Base salary: $161,000 - $210,000 per year (dependent on experience, skills, and location).Full benefits package including medical, dental, vision, 401(k), equity options, paid parental leave, rejuvenation days, and vacation policy.Opportunity to work in a diverse and inclusive environment.Other Information:Rigetti is committed to diversity, inclusion, and equal opportunity. Applications from women, minorities, and underrepresented groups are encouraged.AI tools may be used to assist recruitment, but final hiring decisions are made by humans.