Intern, Quality, Data Analysis, AI

Maxaar•San Jose, CA

1d•$28 - $31

About The Position

Position Overview Lanteris Space Systems is seeking a motivated Quality Engineering Intern to pioneer the integration of our new Claude AI system with legacy quality data systems. This role will focus on bridging modern AI capabilities with existing manufacturing data infrastructure to unlock continuous improvement opportunities across our spacecraft manufacturing operations. The ideal candidate will have experience applying cutting-edge AI tools to our data systems.

Requirements

Must be a U.S. citizen or permanent resident.
Currently enrolled in a bachelor’s degree program in Quality Engineering, Data Science, Computer Science or related discipline with completion of two years or more, or currently enrolled in a master's degree program.

Nice To Haves

Demonstrated experience applying AI/LLM tools (Claude, ChatGPT, etc.) to real-world data analysis problems
Foundation in statistical analysis and quality engineering principles
Understanding of Pareto analysis, control charts, and statistical process control (SPC)
Experience with data wrangling, ETL processes, and data integration challenges
Proficiency in Python, SQL, or similar languages for data manipulation and API integration
Understanding of prompt engineering and AI workflow design
Direct experience with Claude AI (Anthropic) or similar large language models
Experience building data pipelines or integrations between modern and legacy systems
Lean Six Sigma certification (Yellow Belt or higher) or coursework
Familiarity with API integration and automation tools
Experience with data visualization tools (e.g., Power BI, Tableau, Python libraries)
Exposure to manufacturing or aerospace environments
Understanding of quality management systems (AS9100, ISO 9001)
Experience documenting AI use cases and building reproducible AI workflows
Passion for the space industry and spacecraft manufacturing

Responsibilities

Lead AI integration efforts: Design and implement strategies to connect Claude with multiple legacy quality data systems
Develop prompts, workflows, and integration approaches that enable Claude to analyze data from PLM/MES/QMS/ERP/MRP systems
Apply AI-assisted analysis to multiple nonconformance reports (NCRs) to identify patterns and improvement opportunities
Leverage Claude for automated Pareto analysis, trend identification, and root cause analysis across disparate datasets
Create AI-powered solutions to synthesize information from disconnected data sources
Develop and document best practices for using Claude 4.5 in quality engineering workflows
Support Control Plan development using AI-assisted data analysis
Collaborate with IT and Quality teams to overcome data format and accessibility challenges
Train quality team members on effective AI tool utilization