Job Description

Key Responsibilities

• Design and implement industry grade software infrastructure in python to streamline feedback from measurement to the integrated circuit design team.
• Identify correlations between fabrication metrology data and processor performance through the analysis of empirical datasets, leveraging these correlations to better predict performance prior to packaging and test.
• Utilize techniques and best practices in statistical analysis and machine learning to accurately calibrate various processor design parameters, leveraging the large datasets generated from measurements on our quantum processors and dedicated monitoring devices.
• Collaborate closely with engineers and scientists at Rigetti’s quantum foundry to monitor and improve fabrication yield, and identify the highest yielding candidate processors for subsequent test and deployment.

Required 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, with experience ranging from extracting statistically significant signals from small datasets to experience efficiently visualizing and analysing very large datasets
• Programming skills in Python for scientific applications, ideally in an industry or highly collaborative environment.
• Experience with SQL or similar database querying tools
• Experience collaborating with experimentalists to analyze & interpret experimental data
• Ability to excel in a collaborative environment.
• Excellent communication skills.

Nice to Have

• Knowledge and/or direct experience with integrated circuit fabrication and lithographic techniques, and the monitoring and optimization of related fabrication processes 
• Experience in a technical role within an industry or startup environment