Top Internships in Boise, ID

Six-month Process Integration Engineering internship supporting advanced DRAM manufacturing. Responsibilities include optimizing semiconductor process modules, analyzing electrical, inline, process, and yield data, investigating technical issues using statistical methods, supporting experiments, improving yield, developing dashboards and analytical tools, and collaborating with cross-functional engineering teams. The intern will document findings, communicate recommendations, and use automation and AI-assisted tools to improve engineering productivity.

Manufacturing engineering intern supporting Micron’s high-volume semiconductor production area. Responsibilities include analyzing workstation performance, queue times, quality trends, and process issues; optimizing cycle time; supporting constraint workstations; integrating AI-enabled analytics; developing procedures; resolving tool and process issues; leading continuous improvement projects; and participating in system testing. The role requires semiconductor process knowledge, SPC expertise, data analytics experience, and familiarity with programming or visualization tools.

Supports semiconductor high-volume manufacturing through process optimization, yield improvement, defect analysis, and cost reduction. The intern will monitor production data, apply SPC, FDC, DOE, and 8D methods, investigate process excursions, collaborate with equipment and operations teams, and implement projects that improve wafer output and process stability. The role also uses AI-enabled analytics, anomaly detection, and data-driven methods in an on-site Boise fab environment.

Intern will analyze semiconductor defect and metrology data, apply AI and machine learning to classification and reporting, support SPC and DOE initiatives, investigate measurement deviations, monitor tool health, troubleshoot fab data systems, and improve automation and process control. The intern will complete a project, document results, and present findings at the end of the three-month internship.

Supports global procurement through cost analysis, should-cost modeling, market intelligence, benchmarking, procurement analytics, and AI-enabled process improvements. The intern analyzes pricing and industry trends, identifies cost-saving opportunities, supports construction and capital project categories, and collaborates with category managers, program managers, and business partners to improve procurement decisions and operational efficiency.

Supports automated material handling systems in a 300mm semiconductor fabrication facility through a defined summer engineering project. Responsibilities include improving equipment capability, reliability, and throughput; troubleshooting automation errors; analyzing data and defects; documenting QDRs and ECNs; supporting construction scheduling; collaborating across engineering and manufacturing teams; and presenting project results. Work includes cleanroom activities, rigorous safety procedures, and responsible use of AI-enabled engineering tools.

Conduct surface science research on semiconductor devices and thin-film materials. Support sample preparation, surface characterization, data analysis, process improvement, and development of analytical techniques. Collaborate with surface scientists and cross-functional teams, use advanced laboratory instrumentation and AI-assisted tools, and document findings through reports, presentations, and technical summaries.

Supports Micron’s Process Safety Management program for specialty gas and chemical systems in semiconductor manufacturing. Responsibilities include participating in process safety projects, attending Process Hazard Analysis sessions, organizing Process Safety Information, tracking action items, assisting with audits and safety calculations for new equipment, and presenting internship results. The role requires engineering coursework focused on process safety, familiarity with schematics or P&IDs, basic process safety calculation knowledge, Microsoft Office proficiency, and reliable transportation.

PhD-level intern will develop and evaluate CMP processes for advanced DRAM, run experiments, apply root-cause analysis and statistical/AI-assisted data analysis, partner with cross-functional teams, and present technical project results.

Develop, test, debug, and optimize SSD firmware alongside experienced engineers. Responsibilities include firmware feature development, issue resolution, code reviews, test-plan execution, product qualification support, documentation, and use of AI-assisted engineering tools to improve software quality and productivity.

Participate in developing, characterizing, validating, and deploying wafer probe equipment, hardware, software, and process improvements. Design DOE experiments, analyze manufacturing and equipment data, identify performance trends, and recommend solutions to improve quality, reliability, and efficiency. Prepare technical reports and presentations while collaborating with cross-functional engineering and manufacturing teams. Apply AI-enabled tools and automation to improve engineering analysis, productivity, and workflow efficiency.

Supports semiconductor strategic sourcing through supplier analysis, market intelligence, benchmarking, spend analysis, cost management, risk assessment, and category strategy. Develops supplier scorecards, dashboards, reports, and analytical models while collaborating with Procurement, Supply Chain, Engineering, Manufacturing, Quality, Finance, and Legal teams. Uses AI-enabled tools and analytics to improve procurement efficiency, reporting, and decision-making.

Software Engineering Intern developing full-stack applications, AI agents, intelligent automation, MCP-enabled applications, monitoring tools, and enterprise platforms. Responsibilities include designing scalable software, integrating APIs and databases, creating analytics and system health capabilities, collaborating cross-functionally, and supporting secure, reliable continuous improvement. The role offers hands-on experience with modern programming languages, cloud-native technologies, AI-enabled development workflows, and enterprise software solutions.

Develop, test, debug, and optimize SSD firmware alongside experienced engineers. The intern will improve firmware performance, reliability, and quality; participate in code reviews; create test plans; support product qualification; and document technical features. The role also involves embedded systems, C/C++ programming, software engineering practices, and AI-assisted development tools.

Develop and maintain software that automates semiconductor fabrication equipment and integrates with internal systems. Responsibilities include coding, testing, debugging, implementing enhancements, troubleshooting issues, documenting specifications, researching technologies, and participating in code reviews. The intern will collaborate with software engineers and other team members while gaining experience with scripting, Unix systems, APIs, version control, testing, DevOps, and monitoring tools.

Supports advanced DRAM process integration and manufacturing through semiconductor process optimization, electrical and yield data analysis, statistical investigation, experiments, dashboard development, and cross-functional engineering collaboration. The intern identifies process anomalies and yield detractors, evaluates relationships between process conditions and device performance, documents technical findings, and communicates recommendations while using automation, visualization, and AI-assisted tools.

Analyzes semiconductor yield, defect, and failure data to identify trends, investigate root causes, and recommend corrective actions. Collaborates with engineering teams to improve yield, quality, tool matching, and data integrity. Supports defect characterization and correlation studies, develops dashboards and automation solutions, applies AI-enabled tools, and completes an engineering project presented at the end of the internship.

Supports wet etch process development for next-generation semiconductor technologies through experiments, chemistry development, contamination reduction, surface characterization, and data analysis. Collaborates with engineering teams to improve process capability, productivity, efficiency, and manufacturability. Communicates findings through technical reports and presentations while applying AI-enabled and data-driven methods to optimize research and analysis workflows.

Intern supports photomask manufacturing by analyzing production data, investigating defects and process issues, applying SEM/EDX and SPC methods, developing automation and AI solutions, and recommending improvements to quality, cycle time, and engineering efficiency.

Supports EUV lithography and materials engineering projects for next-generation semiconductor manufacturing. Responsibilities include designing DOE experiments, conducting cleanroom process development, optimizing photoresist and patterning performance, analyzing CD-SEM and imaging data, applying AI and data-driven methods, and presenting technical findings. The intern collaborates with photolithography, metrology, etch, wet-process, and other engineering teams across multiple project assignments.

Supports DRAM platform bring-up, validation, characterization, debugging, and reliability analysis across server, client, and mobile systems. Analyzes engineering and customer data, builds dashboards and reports, and develops Python-based automation and testing tools. Collaborates with hardware, firmware, systems, validation, and analytics engineers while using AI-assisted development tools to investigate customer issues and next-generation DRAM features.

Supports semiconductor DRAM yield improvement by analyzing defect inspection data, investigating root causes, applying AI, data analytics, statistical analysis, and DOE, and optimizing manufacturing processes. Collaborates with R&D and manufacturing engineering teams to detect defects, monitor processes, identify yield-impacting trends, automate analysis workflows, and present technical recommendations.

Supports semiconductor process integration and device engineering for next-generation DRAM manufacturing. Analyzes electrical and inline data to identify yield detractors and process anomalies, collaborates with cross-functional engineering teams, documents findings, presents updates, and uses AI tools to improve problem-solving efficiency. The internship provides hands-on exposure to semiconductor process flow, advanced technology development, yield improvement, and production ramp activities.

Supports high-volume semiconductor manufacturing equipment by monitoring performance, performing preventive maintenance, troubleshooting mechanical and electrical issues, assisting installations and engineering tests, and improving uptime. The role uses SPC, DOE, 8D problem solving, AI-enabled analytics, automation, and TPM practices to reduce defects and downtime. Responsibilities also include safety compliance, root cause investigations, corrective actions, procedure development, documentation, and collaboration with equipment owners, engineers, and technicians in a fabrication facility.

Develop software tools, automation, dashboards, and analytics workflows for SSD architecture modeling, simulation analysis, and performance characterization. Process and visualize engineering datasets, identify bottlenecks and trends, apply AI-assisted development techniques, and collaborate with architecture, firmware, and systems engineering teams to improve modeling methodologies and engineering productivity.