Full Stack Software Engineer

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Location: Taiwan (Zhubei)

Role Overview

We are looking for a Full-Stack Developer to support the development of scalable analytics and engineering applications within the semiconductor domain. This role will contribute to building data-driven platforms for product engineering, device analysis, and operational insights. Strong communication skills and familiarity with modern AI tools for engineering productivity are essential.

Key Responsibilities

• Develop and maintain full-stack application components for engineering analytics, dashboards, and workflow systems.
• Implement backend services, data interfaces, and web APIs supporting large-scale semiconductor data processing.
• Build modern, responsive user interfaces for engineering visualization and interactive analysis.
• Support the design and optimization of SQL and NoSQL data structures used in product engineering workflows.
• Work closely with senior developers, product engineers, and data engineers on feature design and implementation.
• Apply AI/LLM tools for code generation, documentation, rapid prototyping, and engineering information synthesis.
• Communicate clearly across teams to ensure alignment on requirements, priorities, and system design considerations.
• (Plus) Participate in building agentic AI modules for workflow automation or data reasoning tasks.

Required Qualifications

• 1-3 years of experience in full-stack software development. Fresh graduate is welcome.
• Proficiency in backend languages (Node.js, Python, Java, etc.) and understanding of REST/GraphQL APIs.
• Experience with front-end frameworks such as React, Vue, or Angular.
• Working knowledge of big-data application basics and distributed system principles.
• Experience with SQL and at least one NoSQL technology.
• Familiarity with cloud deployment and Git-based development workflows.
• Strong communication and collaboration skills across technical and non-technical groups.
• Demonstrated experience using AI tools to improve software development speed or quality.

Preferred Qualifications

• Exposure to LLM-based systems or agentic AI frameworks.
• Experience with semiconductor datasets (yield, test, product, logging).
• Understanding of containerization (Docker, Kubernetes).
• Good analytical and debugging skills.

Minimum Qualifications:

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