As a Data Scientist in the quantum integrated circuit design team, you will play a critical role in our design, fabrication and test flywheel. Through comprehensive and robust analysis of large, ever-expanding datasets obtained from existing quantum processors and test devices, you will extract relevant empirical calibrations to improve the accuracy of our processor design and the performance of subsequent generations of processors. You will develop software infrastructure to streamline and automate these analyses to accelerate learning cycles. Finally, you will collaborate closely with researchers and engineers across Rigetti to monitor and improve fabrication yield, and improve the models and infrastructure used to predict processor performance from foundry metrology data.
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 datasetsProgramming skills in Python for scientific applications, ideally in an industry or highly collaborative environment.Experience with SQL or similar database querying toolsExperience collaborating with experimentalists to analyze & interpret experimental dataAbility 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
As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.
About Rigetti
Rigetti Computing is a pioneer in full-stack quantum computing. The company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The company’s proprietary quantum-classical infrastructure provides ultra-low latency integration with public and private clouds for high-performance practical quantum computing. Rigetti has developed the industry’s first multi-chip quantum processor for scalable quantum computing systems. The company designs and manufactures its chips in-house at Fab-1, the industry’s first dedicated and integrated quantum device manufacturing facility. Rigetti was founded in 2013 and today employs more than 150 people with offices in the United States, U.K., and Australia. Learn more at
www.rigetti.com.
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Rigetti is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.