Digital Twin Engineering Apps Intern

KLA makes electronics possible by providing advanced inspection tools, metrology systems, process solutions, and computational analytics. In this role, you will support engineering and PLM process validation through test execution, defect analysis, automation, and reporting. You will gain hands-on exposure to CAD, PLM, MBSE, simulation, 3D visualization, Digital Twin creation, and AI-assisted validation while building practical experience in enterprise systems, process analysis, stakeholder communication, and cross-functional project delivery.

Job Duties

Testing & Validation

• Validate technical and business process flows for system behavior, data accuracy, business rules, integrations, and digital continuity.
• Support functional, integration, regression, and UAT test cases for PLM, CAD integration, BOM, ECO/CO, MBSE, simulation, and 3D visualization.
• Prepare reusable test data for CAD files, part structures, BOM attributes, change objects, lifecycle states, simulation inputs, MBSE artifacts, and visualization scenarios.

Defects & Evidence

• Capture clear test evidence, observations, results, and defect details to support timely review and resolution.
• Assist with defect reproduction, fix validation, regression testing, and closure confirmation.

PLM Domain Support

• Validate PLM concepts including MBSE, simulation data, requirements traceability, product structure, change management, and 3D visualization use cases.

Automation, AI & Reporting

• Develop lightweight automation scripts using Python, JavaScript, SQL, TCL, or similar tools to reduce manual effort in validation, data comparison, regression testing, and technical process checks.
• Support automated reporting for test execution status, defect trends, validation exceptions, process gaps, and readiness indicators to improve project visibility.
• Use AI-assisted methods to summarize requirements, draft validation steps, identify coverage gaps, detect defect patterns, and improve documentation.

Analysis & Collaboration

• Participate in design walkthroughs, testing reviews, defect triage discussions, and stakeholder updates to clarify expected behavior, communicate findings clearly, and support timely issue resolution.
• Analyze test results, defect trends, validation exceptions, and process observations to identify recurring patterns, root cause indicators, improvement opportunities, and readiness risks.
• Prepare concise written summaries, dashboards, and status communications that translate technical findings into clear insights for IT, engineering, business, and project stakeholders.

Preferred Qualifications

• Pursuing a degree in Computer Science, Information Systems, Mechanical Engineering, Systems Engineering, Data Science, or a related field.
• Exposure to Python, JavaScript, Java, SQL, TCL, or similar tools for automation, validation, and reporting.
• Basic understanding of databases, APIs, integrations, metadata, logs, and data flows.
• Basic testing knowledge, including functional, integration, regression, UAT, defect tracking, and documentation.
• Exposure to CAD, PLM, PDM, BOM, engineering change, lifecycle, MBSE, simulation, or 3D visualization concepts.
• Interest in reusable scripts, test utilities, validation reports, and data comparison tools.
• Familiarity with AI for requirements analysis, test scenarios, documentation, and process improvement.
• Ability to analyze workflows, interpret results, identify gaps, and recommend improvements.
• Strong attention to detail, analytical thinking, curiosity, communication, and collaboration skills.

Minimum Qualifications

Bachelor's Level Degree and 0 years related work experience.

Pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Mechanical Engineering, Systems Engineering, Data Science, or a related field.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.