Process Delivery & Automation Intern - Summer 2026

The Global Information Systems Group is dedicated to the success of Lam through providingbest-in-class and innovative information system solutions and services. Together, we supportusers globally with data, information, and systems to achieve their business objectives.

The Digital Transformation - Process Delivery & Automation Intern will support enterprise modernization by analyzing workflows, identifying improvement opportunities, designing automation solutions, and assisting in process reengineering initiatives. This role combines business process thinking with handson engineering, giving the intern exposure to real transformation work, systems optimization, and crossfunctional delivery.

This internship is ideal for a student interested in automation, process improvement, digital systems, AI/ML tooling, and enterprise workflow optimization.

By the end of the internship, the intern should achieve:

• 1-3 delivered process maps with identified improvement areas.
• At least one deployed automation or prototype script/tool.
• A measurable improvement (cycle time, error reduction, or efficiency uplift) in at least one workflow.
• Updated documentation for improved processes and systems.
• A final presentation summarizing automation opportunities, delivered projects, and realized/expected value.

Process Analysis & Mapping

• Document existing business processes using flowcharts, system maps, and workflow diagrams.
• Identify bottlenecks, inefficiencies, and manual pain points across IS and business functions.
• Conduct shadowing, interviews, and data reviews to understand current-state operations.

Automation Opportunity Identification

• Evaluate processes for RPA, scripting, AI, or integration-based automation potential.
• Prioritize opportunities using impact vs. effort frameworks.
• Prepare business cases and value assessments for automation proposals.

Workflow & Process Improvement Delivery

• Support redesign of workflows to reduce cycle time and improve consistency.
• Partner with stakeholders to pilot improved processes and gather feedback.
• Track improvements with measurable KPIs and update documentation accordingly.

Automation Development

• Build small automation scripts or tools using Python, APIs, or workflow automation platforms.
• Create prototypes for AI-enabled process steps (e.g., document classification, summarization, routing).
• Assist in testing, validating, and deploying automation artifacts into production workflows.

Digital Tools Implementation Support

• Assist with rollout of new digital platforms and features.
• Participate in system integration activities using APIs or connectors.
• Support change management: training guides, communications, process documentation.

Example Projects

• Map and automate a multistep operational workflow, improving turnaround time by 15-30%.
• Build a Python-based micro-automation for recurring IS or business processes.
• Design an AI-assisted process (e.g., auto-summarizing tickets, routing approvals, anomaly detection).
• Create a beforeandafter efficiency assessment for a targeted business process.
• Support the integration of a new digital tool or platform and document end-to-end workflows.

Minimum Qualifications

• Pursuing a degree in Electrical & Computer Engineering, Computer Engineering, Computer Science, Information Systems, or related field.
• Strong analytical and problem-solving skills.
• Programming experience in Python or similar languages.
• Exposure to automation, scripting, or full-stack development.
• Ability to document processes clearly and communicate with technical and nontechnical teams.

• Experience in process mapping (e.g., Lucidchart, Visio, Miro).
• Knowledge of APIs, workflow engines, or automation tools (APScheduler, Flask, Zapier, Power Automate, etc.).
• Exposure to AI/ML concepts or projects.
• Prior internship/research experience in automation, systems engineering, or data analysis.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.