QuEra Computing, Inc.
Internship–DataManagement
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Internship – Data Management at QuEra Computing, Inc.. Skills: Data infrastructure, Data management, Python, AI. Develop AI-powered data infrastructure. Automate data ingestion”
Industry & Context.
Problem-solving capabilities
What They're Looking For.
Must Have
Bachelor's or Master's degree, Proficiency in Python programming, Hands-on experience with AI libraries, Hands-on experience with data science libraries, Familiarity with workflow automation tools, Working knowledge of data storage formats, Working knowledge of database design principles, Working knowledge of data analysis frameworks, Working knowledge of data visualization frameworks, Proven track record leveraging Python, Proven track record leveraging AI tools, Analytical mindset, Exceptional problem-solving capabilities, Excellent interpersonal skills, Excellent communication skills, Ability to collaborate effectively, Clear evidence of self-motivation, Ability to drive independent projects, Solid understanding of computer science, Solid understanding of mathematics
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Develop AI-powered data infrastructure
Automate data ingestion
Build analysis pipelines
Extract device performance metrics
Analyze fabrication metrology datasets
Correlate findings with device performance
Identify process-performance relationships
Define best practices
Document data infrastructure
Document analysis workflows
How You'll Work.
Team & Collaboration
Cross-functional teams; Multidisciplinary teams
Communication Scope
Communication skills
Full 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 scie
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