2026 Internship: Josephson Yield & Data Systems

Job Description

Job Title: 2026 Internship Project: Josephson Junction Yield & Data Systems. Location: Fremont, CA, USA

Responsibilities:

• Design and implement a structured dashboard to track Josephson Junction (JJ) yield metrics, including resistance targeting, wafer-level spread, opens/shorts rate, and die yield.
• Integrate room-temperature probe data, MES outputs, and relevant fabrication metadata into a unified analytics framework.
• Evaluate existing internal tools for yield tracking and recommend upgrades or new systems as needed.
• Enable transparent and shareable tracking of JJ yield data 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 capabilities 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 enhance automation and analytics workflows.
• Support migration or improvement of analytical toolsets within the JJ module;
• Contribute to improving usability and accessibility of internal yield metrics tools.
• Present findings and recommendations during 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.

Qualifications:

• Currently enrolled in a Bachelor’s or Master’s program in Physics, Electrical Engineering, Materials Science, Data Science, or a related field.
• Strong Python skills (pandas, matplotlib/plotly, scientific computing).
• Experience with data analysis and statistical reasoning;
• Comfortable working with structured data (CSV, SQL-like formats, APIs).
• Clear written and verbal communication skills.

Preferred:

• 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.

Benefits and Compensation:

• Hourly pay: $35–$50, based on academic level (Undergraduate $35, Masters $45, Graduate $50).
• Housing stipend of up to $2,000 for candidates relocating for the summer.
• Work in a diverse, interdisciplinary, and mission-driven environment;
• Opportunities to gain hands-on experience in quantum hardware development and data systems.