Internship – Data Management

Queracomputinginc; Boston (MA); On-site; USD 30,000 - 50,000; Full time

Job summary

QuEra Computing, Inc. in Boston is looking for a Photonics Data Engineer Intern to support data infrastructure for photonic chip design and testing workflows. You will develop tools to convert measurement data into actionable insights, facilitating the design of efficient quantum computers.

This on-site internship requires a strong background in Python and familiarity with AI and data science libraries. Collaboration with multidisciplinary teams and excellent problem-solving skills are essential.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in relevant fields.
• Strong proficiency in Python programming required.
• Hands-on experience with AI and data science libraries preferred.

Responsibilities

• Develop an AI-powered data management infrastructure for photonic integrated circuit design.
• Write Python functions to automate data processes from multiple sources.
• Build analysis pipelines for device performance metrics and analyze fabrication datasets.

Skills

Python programming

AI and data science libraries (PyTorch, NumPy, SciPy, Pandas)

Data analysis and visualization frameworks

Data storage formats

Education

Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or related discipline

Job description

About QuEra Computing, Inc.

QuEra Computing is building the world’s most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.

Summary

The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers.

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.

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.

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.