Intern- Test Solutions Engineer

Test Solutions Engineering – Test Process Engineer (Module or Component)

As a Test Solutions Engineering – Test Process Engineer (Module or Component) at Micron Technology, Inc., you will be responsible for process development, improvement, and qualification of FOAK equipment, software, or operation problems in processes and manufacturing.

You will work with Manufacturing, Test Engineering, Process Engineering, QA, Suppliers, and other multi-functional central team resources to specify, develop, optimize, integrate, and qualify new and existing systems for manufacturing processes. You will provide process direction and assistance locally and internationally to enable new technology, reduce overall cost, increase yield, reliability, and safety, and optimize product manufacturing quality. The role leverages AI-enabled tools, Generative AI, Large Language Models (LLMs), and AI-assisted analytics to improve decision-making, process effectiveness, quality, innovation, and business outcomes.

Job Responsibilities

• Drive efforts between Test Key Equipment Group (KEG) and Sites for new technology integration and issue resolution.
• Coordinate global continuous improvement efforts for manufacturing/equipment processes and capabilities to deliver industry outstanding (BIC) methods.
• Drive deployment efforts to transfer best-known process methods (BKMs) and the latest process technology throughout the global manufacturing network.
• Lead global peer groups to optimize manufacturing performance and align across the manufacturing network.
• Work with peer groups and customers to benchmark metrics and improve performance in the network for BIC processes.
• Analyze and solve manufacturing process issues and develop systems to optimize processes to improve efficiency, yield, quality, cycle time, and cost.
• Facilitate the transfer of process BKMs and new technology among sites through worldwide project management.
• Manage projects from definition through first-of-kind deployment into HVM (High Volume Manufacturing) production.
• Ensure proposed solutions meet speed performance, mechanical form/fit/function, and material interface requirements.
• Analyze technology cost structure and identify actions to minimize operational cost.
• Procure cost-efficient solutions meeting mechanical, electrical, or manufacturing requirements.
• Own Process of Record (POR), Organizational Change (OCM), Failure Mode and Effects Analysis (FMEA), and other key business processes for the area of responsibility.
• Establish technical expertise on the process and provide technical support to internal and external customers.
• Mentor, lead, and/or collaborate with global teams as needed.
• Identify and resolve the origin of deviations, isolate causes, and provide solutions using 8D, Total Process Control (TPC), problem-solving, and decision-making methodologies.
• Develop new process transfer packages, procedures, training, and documentation.
• Leverage Generative AI, AI-assisted analytics, and Large Language Models (LLMs) to improve quality monitoring, trend analysis, knowledge management, and decision support.
• Apply AI-enabled and AI-augmented solutions to automate reporting, risk assessments, and engineering workflows.
• Drive adoption of agentic AI, AI assistants, and digital engineering tools to accelerate problem-solving and operational efficiency.
• Identify opportunities to leverage artificial intelligence to improve quality robustness, yield performance, and engineering productivity.

Qualifications

• Bachelor’s/Master’s degree or equivalent experience in Electrical/Electronics Engineering.
• Working and hands-on technical knowledge of backend manufacturing test handler equipment and processes.
• Minimum 2 years of experience in a backend equipment maintenance/engineering area.
• Good understanding of equipment mechanical/electrical fundamentals, including electronics circuits, infrastructure, mechanical function, and equipment reliability.
• Knowledge of equipment utilization metrics such as OEE, MTTR, and MTBF, with good understanding of these critical metrics.
• Knowledge of test process / test program language and equipment communication protocols (e.g., SEC/GEMS, GPIB, IS/Information System).
• Strong analytical problem-solving and decision-making ability.
• Proficiency with data analysis tools and processes such as Decision Analysis, RA (Risk Assessment), FMEA (Failure Mode and Effects Analysis), and organizational change processes.
• Fresh graduates are encouraged to apply.