Digital Twin Eng Apps Intern

KLA Corporation; Ann Arbor (MI); On-site; USD 33,000 - 44,000; Part time

Benefits offered by this job

Performance incentives

Employee benefits

401(k) matching

ESPP

Job summary

KLA's IT group in Ann Arbor is seeking a Digital Twin Engineering Apps intern to support PLM processes, CAD integration, simulation, MBSE, and 3D visualization while building AI-assisted validation. You will gain hands-on exposure to enterprise systems, data flows, and stakeholder communications in a fast-paced environment.

Responsibilities include testing, defect analysis, data preparation, automation scripting in Python/JavaScript/SQL/TCL, and creating concise reports and dashboards for

Qualifications

• Pursuing a degree in Computer Science, Information Systems, Mechanical Engineering, Systems Engineering, Data Science, or a related field.

Responsibilities

• Validate test data and system behavior for PLM/CAD workflows, 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.
• 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.
• Validate PLM concepts including MBSE, simulation data, requirements traceability, product structure, change management, and 3D visualization use cases.
• 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.
• 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.

Skills

Python

JavaScript

Java

SQL

TCL

Automation

Validation

MBSE

CAD

PLM

PDM

BOM

ECO/CO

Education

Bachelor's degree in CS/IS/ME/Systems/Data Science

Tools

CAD

PLM

PDM

BOM

MBSE

Simulation

Job description

Group/Division

KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

We are seeking a highly motivated Digital Twin Engineering Apps intern to support engineering and PLM process validation through test execution, defect analysis, automation, and reporting. The role provides 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.

Base Pay Range: $24.00 - $32.00 Per Hour

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.

Total Rewards

Base Pay Range: $0.00 - $0.00Primary Location: USA-MI-Ann Arbor-KLA

• participation in performance incentive programs
• eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off and paid company holidays
• family care and bonding leave

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [e-mail] or at [phone] to request accommodation.

For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.