Test and Manufacturing Intern

• →Collaborate with engineering stakeholders and internal /external data engineering team to help build and improve analytics solutions.
• →Support data collection, ingestion, and integration from manufacturing environments (test data, production metrics, quality indicators, yield, etc.)
• →Perform data validation and quality checks across manufacturing, test, and quality datasets
• →Analyze test and manufacturing data and help create or refine dashboards/reports to track KPIs (yield, throughput, FPY, rework, defect trends)
• →Assist with root-cause trend analysis and communicate findings through clear visuals and summaries
• →Support AI/ML-driven analytics, including anomaly detection, outlier analysis, or predictive indicators
• →Document processes, data flows, and standard operating procedures (SOPs)
• →Assist senior engineers in gathering and organizing information related to factory digitalization and Industry 4.0 practices
• →Help define assessment criteria, scoring models, and maturity levels to consistently evaluate suppliers’ Industry 4.0 capabilities and readiness.
• →Analyze supplier survey responses and factory data to identify gaps, strengths, and improvement opportunities across suppliers and manufacturing sites.
• →Translate survey results into clear dashboards, visual summaries, and executive‑ready insights that can be used by engineering, supply chain, and leadership teams.
• →Assist in documenting best practices and emerging Industry 4.0 use cases observed across suppliers to help inform future investments and supplier engagement strategies.
• →Contribute to continuous improvement efforts for the Manufacturing Control Tower by helping identify opportunities to improve factory data visibility.

• Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Familiarity with data analysis concepts and working with structured/unstructured datasets.
• Experience in a manufacturing role or project requiring analytical problem solving, critical thinking, and analysis.
• Basic Familiarity with manufacturing or test data (MES, test logs, quality systems)
• Hands-on experience with one or more of the following: Python, SQL, Microsoft Office
• Ability to communicate clearly, Strong attention to detail and work with multiple teams (engineering + data + Supplier)
• Ability to work independently in a remote environment with a high tolerance for ambiguity and fast-changing environments.
• Interest in Industry 4.0, manufacturing systems, automation, data analytics, or digital manufacturing concepts
• Ability to work for the complete summer break (May - August or June - September).

• Experience with JIRA, AI or test management tools
• Exposure to Power BI or similar visualization tools, data tool Snowflake.
• Basic exposure AL, ML exposure (classification, clustering, anomaly detection)
• Coursework or personal interest in smart manufacturing, Industry 4.0, or industrial data systems
• Experience working with surveys, spreadsheets, or basic data analysis for school projects
• Exposure to manufacturing environments through internships, labs, or class projects

• Remote-based role located in the United States or Canada. Preference for candidates to be located in the Dallas Fort Worth area / near our Richardson, Texas Office.

#LI-Remote

The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.

For information on our benefits click here.