Photonics Data Engineer Intern: AI-Driven Design Analytics

QuEra Computing Inc.; Boston (MA); On-site; USD 41,000 - 55,000; Full time

Job summary

QuEra Computing Inc. is seeking a Photonics Data Engineer Intern for Fall 2026 to develop an AI-driven data infrastructure supporting PIC design, fabrication, and testing workflows.

You will build Python-based tooling to ingest, clean, and organize diverse data sources, and you will analyze metrology datasets to relate process to device performance. The role emphasizes collaboration across photonics engineers and thorough documentation for long-term reuse.

Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Physics, Mathematics, or a related discipline.
• Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
• Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
• Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
• Strong analytical mindset with exceptional problem-solving capabilities.
• Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
• Clear evidence of self-motivation and the ability to drive independent projects to completion.
• While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

Responsibilities

• AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
• Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
• Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield). Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
• Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
• Documentation: Document data infrastructure and analysis workflows for long-term team use.

Skills

Python programming

AI & data science

Analytical mindset

Communication

Education

Bachelor's or Master's in CS/Physics/Math

Tools

PyTorch

NumPy

SciPy

Pandas

Workflow automation tools

Job description

QuEra Computing Inc. is seeking a Photonics Data Engineer Intern for Fall 2026 to develop an AI-driven data infrastructure supporting PIC design, fabrication, and testing workflows.

You will build Python-based tooling to ingest, clean, and organize diverse data sources, and you will analyze metrology datasets to relate process to device performance. The role emphasizes collaboration across photonics engineers and thorough documentation for long-term reuse.