QuEra Computing Inc.→
Internship – Data Management at QuEra Computing Inc. in Boston, MA
InternshipOn-siteBoston, MA
Skills
pythonai toolsdata manipulation librariespytorchnumpyscipypandasdata storage formatsdatabase design principlesdata analysisdata visualizationquantum physicscomputer sciencemathematicsindependent work
Job Description
Summary: QuEra Computing Inc. is building the world’s most powerful neutral-atom quantum computers. They seek a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports design, fabrication, and testing workflows for photonic chips.
Responsibilities:
- Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows
- Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources
- 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
- Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows
- Document data infrastructure and analysis workflows for long-term team use
Required Qualifications:
- Pursuing or recently completed a degree in computer science, physics, mathematics, or a related field
- Strong programming skills in Python and AI tools, including experience with data manipulation libraries (e.g., PyTorch, NumPy, SciPy, Pandas) and workflow automation
- Familiarity with data storage formats, database design principles, data analysis, and visualization tools
- Excellent problem-solving and analytical skills
- Strong communication and teamwork skills
- Strong evidence of independent work
- A strong background in computer science and mathematics is required
Required Skills: Python, AI tools, Data manipulation libraries, PyTorch, NumPy, SciPy, Pandas, Data storage formats, Database design principles, Data analysis, Data visualization, Quantum physics, Computer science, Mathematics, Independent work