Data Scientist, Quantum Integrated Circuit Design Calibration

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.

• 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.

• 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 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 and interpret experimental data.
• Ability to excel in a collaborative environment.
• Excellent communication skills.

• 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.

$161,000 - $210,000 a year

Rigetti complies with all local and state regulations in regards to displaying salary ranges. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, and geographic location. Rigetti offers a full slate of benefits from competitive salaries, equity, medical, dental and vision for employees as well as a 401(k) plan, a paid parental leave program, rejuvenation days, and vacation policy that aligns with local regulations and industry standards.

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. Applications from women, minorities, and other under‑represented groups are encouraged.