23 hours ago
Taichung, TaiwanMid Level

Responsibilities

  • Build, develop, deploy, and operate AI-enabled applications, services, and agent-based solutions for manufacturing operations and BE MES ecosystems.
  • Translate requirements from MES, manufacturing engineering, data, and business stakeholders into production-grade software systems.
  • Build full-stack solutions spanning backend services, APIs, user experiences, databases, integrations, and cloud-native components.
  • Integrate AI applications with MES, manufacturing systems, corporate platforms, document repositories, event-driven services, APIs, and enterprise data sources.
  • Develop agentic AI capabilities including tool calling, workflow orchestration, multi-step execution, context management, and human-in-the-loop review.
  • Evaluate and improve AI solution quality, reliability, safety, governance, observability, and operational performance.
  • Resolve production issues involving software behavior, MES integration, AI outputs, data flows, infrastructure, scalability, and platform reliability.
  • Contribute to architecture reviews, code reviews, testing strategies, CI/CD automation, and operational guidelines.
  • Participate in a 24/7 on-call rotation and provide Level 3 support, including Priority 1 and Priority 2 incident response.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related field, or equivalent hands-on experience.
  • At least 2 years of professional experience in software engineering, AI engineering, enterprise application development, or related technical fields.
  • Strong proficiency in one or more of C#, Python, Java, TypeScript, or JavaScript.
  • Experience with relational and/or NoSQL databases.
  • Experience crafting and consuming REST APIs and integrating enterprise systems.
  • Experience with source control, automated testing, code reviews, CI/CD pipelines, and modern DevOps practices.
  • Experience fixing, debugging, monitoring, performing performance analysis, and conducting root-cause investigations for production issues.
  • Ability to communicate technical trade-offs, risks, recommendations, and solution designs to diverse audiences.
  • Preferred experience developing, integrating, or supporting factory production control, factory automation, engineering platform, or smart manufacturing solutions.
  • Preferred knowledge of semiconductor manufacturing processes, engineering procedures, production frameworks, or manufacturing data environments.
  • Preferred hands-on experience developing AI agents, copilots, multi-agent systems, or autonomous AI workflows.
Micron Technology

About Micron Technology

10,000+ employees

Micron Technology designs and manufactures memory and storage semiconductors—DRAM, NAND, NOR and SSDs—sold to device makers, cloud providers, and embedded/automotive markets. Founded in 1978 and headquartered in Boise, Idaho, it operates globally and sells under the Micron and Crucial brands as a public company (NASDAQ: MU). Its products support data center, AI, mobile, and PC systems, including high-bandwidth and multichip packages for performance- and space-constrained applications.

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