Rigetti Computing - 2026 Internship Project: Josephson Junction Yield & Data Systems
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Currently enrolled in a Bachelor’s or Master’s program in Physics, Electrical Engineering, Materials Science, Data Science, or related field. • Strong Python skills (pandas, matplotlib/plotly, scientific computing). • Experience with data analysis and statistical reasoning. • Comfort working with structured data (CSV, SQL-like formats, APIs). • Clear written and verbal communication skills. • Familiarity with semiconductor fabrication, lithography, or device physics. • Understanding of statistical process control (SPC). • Experience building dashboards (Dash, Streamlit, Plotly, etc.). • Exposure to superconducting devices, qubits, or cryogenic measurement environments. • Experience working with production or manufacturing data systems. • $35 - $50 an hour • Rigetti complies with all local and state regulations in regards to displaying salary ranges. Generally, we pay according to academic experience: Undergraduate ($35), Masters ($45), Graduate Level ($50). Additionally, Rigetti will provide a housing stipend up to $2,000 for candidates who relocate for the summer. • 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.
Responsibilities
• Design and implement a structured dashboard for tracking JJ yield metrics, including JJ resistance targeting, wafer-level spread, opens/shorts rate, and overall die yield. • Integrate room-temperature probe data, MES outputs, and relevant fabrication metadata into a unified analytics framework. • Evaluate existing internal tools and determine whether upgrades are sufficient or if a new system should be developed. • Enable transparent, shareable tracking of JJ yield data that is currently semi-automated. • Develop statistical process control (SPC) visualizations for JJ resistance targeting and spread. • Establish automated baseline tracking and drift detection. • Build input/output capability to support JJ size calibration workflows for future wafers. • Support data-driven decisions for safer targeting windows and improved yield consistency. • Collaborate with ISW and process engineers to improve automation and analytics workflows. • Support migration or enhancement of analytical toolsets within the JJ module. • Contribute to improving usability and accessibility of internal yield metrics tools. • Work closely with JJ integration, EBL, and process engineering teams. • Present findings and recommendations in team meetings. • Document workflows, assumptions, and analytical methods. • Maintain organized records of processed data and derived insights. • Contribute to best practices for long-term JJ yield tracking and dashboard sustainability.
Similar Jobs
No credit card. Takes 10 seconds.