Top Internships in Boise, ID

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 category management and strategic sourcing through market research, supplier analysis, benchmarking, cost modeling, and procurement metrics. Collaborates with category managers, suppliers, and internal stakeholders on supplier relationships and savings opportunities. Assists AI adoption by identifying use cases, creating training resources, tracking adoption, and promoting responsible use of AI tools.

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.

Supports semiconductor manufacturing process optimization, yield improvement, throughput enhancement, cost reduction, and issue resolution. The intern monitors process performance, analyzes manufacturing data, troubleshoots defects and equipment restrictions, and applies SPC, FDC, DOE, 8D, AI, and data analytics methods. The role collaborates with process owners, equipment engineering, operations, and other stakeholders to improve wafer processing and manufacturing performance.

Hands-on PhD internship developing and optimizing 3D DRAM photolithography processes. Collaborate with cross-functional teams to perform experiments, root-cause analyses, statistical analysis, and apply data-driven and AI methods. Present project results to technical and leadership teams.

Supports thin films semiconductor equipment engineering projects involving equipment and process data analysis, optimization, structured experiments, technical documentation, and cross-functional collaboration. The intern investigates equipment hardware, process interactions, and operating conditions while applying data analytics, artificial intelligence, and machine learning tools to improve engineering workflows and equipment performance.

Supports semiconductor manufacturing equipment by monitoring performance, performing preventative maintenance, troubleshooting mechanical and electronic systems, assisting installations, and improving uptime. The intern collaborates with engineering and technician teams, investigates root causes, applies SPC, DOE, and 8D methods, implements corrective actions, and maintains procedures and training documentation. The role is hands-on in a fabrication facility and emphasizes safety, equipment reliability, process control, and continuous improvement.

Supports DRAM physical design and block-level PPA optimization using place-and-route tools. Responsibilities include floorplanning, placement, clock tree synthesis, routing, timing closure, power-performance-area benchmarking, static timing analysis, DRC, LVS, IR-drop analysis, and AI-enabled workflow automation.

Supports semiconductor manufacturing process optimization, yield improvement, defect and excursion resolution, tool availability, and wafer output initiatives. The intern applies SPC, FDC, 8D, data analysis, visualization, and engineering methods while collaborating with equipment, operations, and cross-functional teams. Responsibilities also include maintaining tool documentation, updating procedures, completing project work, and following safety requirements.

Supports semiconductor probe equipment installation, qualification, upgrades, troubleshooting, maintenance, and reliability improvement. Analyzes manufacturing and equipment data, develops scripts and automation solutions, and applies AI, machine learning, predictive maintenance, SPC, and DOE to improve equipment availability, quality, and factory efficiency. Collaborates with manufacturing, facilities, quality, process integration, suppliers, and other engineering teams while maintaining documentation and safety compliance.

Supports semiconductor manufacturing projects involving data analysis, dashboard development, process optimization, KPI initiatives, capacity planning, productivity, and operational efficiency. Partners with engineering and operations teams to improve factory performance and enable data-driven decision-making. The role applies industrial engineering principles in a manufacturing environment and may use analytics, visualization, Lean, Six Sigma, automation, and AI-assisted tools.

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.

Contribute to next-generation 3D DRAM technology development by optimizing semiconductor process flows, designing and running R&D fab experiments, and analyzing inline, parametric, and probe data. Investigate device performance, reliability, failure mechanisms, variability, and yield issues while collaborating with process development, product engineering, design, probe, and yield enhancement teams. Summarize complex problems and drive technical solutions.

Support next-generation DRAM product development through electrical characterization, test development, circuit analysis, design validation, yield analysis, and failure investigation. Collaborate with process, design, manufacturing, and test engineering teams to resolve product issues. Develop automation scripts, data analysis tools, and improved test methodologies while applying statistical analysis and AI-enabled technologies to enhance product quality and testing efficiency.

Supports procurement and supplier management initiatives through market research, spend analysis, benchmarking, supplier segmentation, performance analysis, and category recommendations. The intern will help identify cost savings and process improvements, collaborate with suppliers and internal teams, and advance responsible AI adoption by developing use cases, training materials, and adoption metrics.

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 investment portfolio data reconciliation by comparing external data with a web-based system, reviewing reporting data, investigating discrepancies, and communicating updates. The intern develops skills in financial reconciliation, reporting, investment concepts, documentation, and client and stakeholder communication while completing assigned projects and training.

Supports investment portfolio reconciliation by comparing external data with an internal reconciliation system, updating reports, investigating discrepancies, communicating with stakeholders, and completing assigned learning projects. The role develops foundational knowledge of financial reconciliation, accounting concepts, securities, reporting, and investment technology under mentorship.

Supports investment portfolio reconciliation by comparing external data with an internal reconciliation system, reviewing reporting data, investigating discrepancies, and communicating updates. The intern learns financial reconciliation, reporting, investment concepts, and internal tools while assisting with client, data-provider, and stakeholder relationships. Responsibilities include meeting daily deadlines, documenting work, completing learning projects, and identifying product innovation opportunities. No prior professional experience is required; candidates should be pursuing a relevant bachelor's degree and have basic finance knowledge and Excel skills.

Supports investment portfolio reconciliation by comparing external data with an internal reconciliation system, reviewing reporting data, investigating discrepancies, and communicating updates. The intern develops foundational knowledge of financial reconciliation, accounting concepts, securities, reporting, and investment technology while completing training and assigned projects under supervision.

Supports investment portfolio reconciliation by comparing external data with a web-based reconciliation system, updating reports, investigating discrepancies, and communicating status updates. The intern receives mentorship while developing foundational knowledge of financial markets, accounting concepts, reconciliation processes, reporting, and client communication. Responsibilities also include documenting work, completing learning projects, and collaborating with data providers, clients, and internal stakeholders.

Supports high-volume semiconductor manufacturing by monitoring and improving process quality, yield, throughput, and cost. Applies SPC, FDC, DOE, statistical analysis, engineering principles, and data-driven problem solving to resolve process deviations, defects, tool restrictions, and output interruptions. Collaborates with equipment, operations, and engineering teams, performs data analysis and visualization, and uses approved AI-assisted analytics to optimize wafer output and manufacturing performance.

Supports operations improvement projects by gathering requirements, evaluating solutions, documenting defects and technical specifications, and participating in integration and user acceptance testing. The role uses databases, programming, visualization tools, and AI automation to organize data, create scripts, and improve processes.

Contribute to DRAM process integration R&D by defining design rules and specs, collaborating across device, materials, and process teams, documenting integration plans and risks, evaluating architectures and scaling approaches, and using AI/AI-assisted tools and statistical methods to support technology development.

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.