Top Internships in Boise, ID

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 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.

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.

Hands-on SkillsBridge internship supporting preventive and corrective maintenance of semiconductor manufacturing equipment. Troubleshoot mechanical, electrical, pneumatic, and vacuum subsystems using technical documentation and SOPs. Support equipment installations, upgrades, and qualification activities while following cleanroom, safety, and quality protocols. Partner with technicians, engineers, and operations teams to meet manufacturing goals and gain career-ready technician experience.

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 CMOS process integration and device engineering for next-generation DRAM manufacturing. Analyzes inline electrical and process data to identify yield detractors and anomalies, collaborates with engineering teams on process improvement, documents findings, and presents updates. The intern gains hands-on exposure to semiconductor process modules, advanced technology development, yield improvement, and AI-assisted problem solving.

Supports semiconductor equipment programs by coordinating schedules, milestones, meetings, action items, risks, documentation, dashboards, and deployment tracking. The intern collaborates with engineering, manufacturing, and suppliers, assists with equipment qualification and installation activities, and applies AI tools to improve reporting and project visibility. The role offers increasing ownership of a project or workstream and requires strong organization, communication, and time-management skills.

Supports semiconductor process integration and optimization for advanced DRAM manufacturing. Analyzes electrical, inline, process, and yield data; investigates process anomalies and yield detractors; applies statistical methods; supports experiments; develops dashboards and automation tools; and collaborates with cross-functional engineering teams to improve technology performance and manufacturing readiness.

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.

Design, develop, test, and support AI-enabled software applications using full-stack technologies, LLMs, AI agents, retrieval systems, APIs, databases, and cloud architectures. Collaborate with engineering and business teams, research emerging AI technologies, prototype solutions, and contribute to testing, documentation, automation, and continuous improvement.

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.

Support development and optimization of photolithography processes (including EUV) by designing and running experiments in a cleanroom, analyzing process images and data with commercial/in-house tools and AI methods, and reporting findings to cross-functional teams to improve overlay, CDU, and process windows.

Supports semiconductor manufacturing process optimization, yield improvement, defect reduction, cost reduction, and wafer output improvements. Analyzes manufacturing data using SPC, FDC, 8D, DOE, AI, and visualization tools; investigates process excursions, performs root-cause analysis, recommends corrective actions, collaborates cross-functionally, and maintains process documentation.

Intern validates Micron memory products across Intel, AMD, and ARM systems. Responsibilities include configuring hardware and software environments, executing compatibility and reliability tests, triaging failures, analyzing logs, developing automation with Python, PowerShell, or C++, documenting results, and presenting findings. The intern will complete a three-month technical project involving system bring-up, memory validation, test development, data analysis, and responsible use of AI-assisted engineering tools.

Develop software frameworks, simulation environments, automation tools, and AI-assisted workflows for DRAM architecture research. Analyze memory architectures through modeling, simulation, performance, power, bandwidth, latency, and workload studies. Collaborate with architects and researchers to document methods, present findings, and support future memory technology strategies.

Supports revenue operations through customer demand, supply, and market analysis; forecasting and planning; dashboard and report maintenance; forecast performance monitoring; business data analysis; process improvement; and preparation of leadership and account planning materials. Collaborates with Sales, Planning, Supply Chain, and other cross-functional teams while developing analytical, communication, and problem-solving skills.

Develop software platforms and AI-enabled workflows for DRAM and memory-system architecture research. Support architecture exploration, simulation, data analysis, and technical decision-making for next-generation memory technologies while combining computer architecture, DRAM systems, software development, and artificial intelligence.

Support development of next-generation DRAM by defining integration requirements, coordinating multi-functional teams, leading module integration activities, identifying technical risks, developing test plans, evaluating alternative architectures and using AI-assisted and data-driven methods to improve engineering analysis and decision-making.

Intern will improve automation and operational efficiency in a semiconductor research and development factory. Responsibilities include gathering project requirements, designing solutions with customers, documenting defects and improvements, supporting integration and user acceptance testing, and preparing technical and deployment documentation. The role involves working with large datasets, databases, programming languages, visualization tools, and AI-enabled automation.

Supports semiconductor design rule development, documentation, validation, and optimization for advanced DRAM technologies. Develops scripts, automation solutions, methodologies, and workflows using EDA tools and AI-supported analytics. Performs design rule checking, physical verification, simulation, data analysis, and layout debugging while collaborating with design, CAD, process integration, verification, and product engineering teams.

Supports signal and power integrity analysis for high-speed memory interfaces and power distribution networks. Responsibilities include modeling, simulation, laboratory measurement, correlation, and developing die, package, PCB, and system-level models. The intern collaborates with cross-functional engineering teams, applies AI-enabled workflows and automation, evaluates performance risks, contributes to standards exploration, supports customers, and documents technical findings.

Supports semiconductor high-volume manufacturing through process optimization, yield improvement, cost reduction, and wafer output initiatives. The intern analyzes process and equipment data, applies SPC, FDC, and 8D methodologies, resolves yield and defect issues, improves tool availability, updates documentation and procedures, and collaborates with equipment, operations, and engineering teams.

Supports AI engineering initiatives at Vantor, contributing to spatial intelligence solutions and helping develop technologies that enable customers to understand current and future conditions. The posting provides limited role-specific responsibilities but emphasizes problem-solving, innovation, collaboration, and mission-focused work. Applicants must qualify as a U.S. Person under applicable export control and ITAR requirements.

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.