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Intern- Test Solutions Engineer Posted 21 hours ago

Job in Singapore, Singapore
Listing for: Micron Technology, Inc
Part Time, Apprenticeship/Internship position
Listed on 2026-08-15
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 100000 SGD Yearly SGD 70000.00 100000.00 YEAR
Job Description & How to Apply Below

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Job Description

As a Test Solutions Engineering – Test Process Engineer (Module or Component) at Micron Technology, Inc., you will be responsible for the 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 process. You will provide process direction and assistance in the local and internationally with the aim at enabling new technology, reducing overall cost, increase yield, reliability, safety, and optimize product manufacturing quality.

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 issues resolution.
  • Coordination of global continuous improvement efforts for manufacturing/equipment processes and capabilities to deliver industry outstanding (BIC) methods.
  • Drive the 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 this across the manufacturing network.
  • Work with peer groups and customers to benchmark these metrics to improve performance in the network for BIC processes.
  • Analyze and solve manufacturing processes and develop systems to optimize the process to increase overall efficiency for improved yield, quality, cycle time and cost.
  • Facilitate the transfer of process BKMs and new technology among sites throughout the manufacturing network 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 cost structure of a technology and identify appropriate actions to minimize cost of operation.
  • Procure cost efficient solutions meeting mechanical, electrical, or manufacturing requirements.
  • Responsible for Process of Record (POR), Organizational Organizational Change (CM), Failure Mode Effective Analysis (FMEA) and other key business processes for area of responsibility.
  • Establish technical expertise on process and provide technical support to internal and external customers.
  • Mentor, lead, and/or collaborate with global teams as the need arises.
  • Identify and settle origin of deviation, isolate cause and provide solutions with detailed application of 8D, Total Process Control (TPC), Problem Solving and Decision Making.
  • Develop new process transfer package, 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 for Leveraging 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…
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