2 days ago
Hsinchu, TaiwanEntry Level / Mid Level
Responsibilities
- Develop and maintain full-stack components for engineering analytics, dashboards, and workflow systems.
- Implement backend services, data interfaces, and web APIs for large-scale semiconductor data processing.
- Build responsive user interfaces for engineering visualization and interactive analysis.
- Design and optimize SQL and NoSQL data structures for product engineering workflows.
- Collaborate with senior developers, product engineers, and data engineers on feature design and implementation.
- Use AI and LLM tools for code generation, documentation, prototyping, and engineering information synthesis.
- Communicate requirements, priorities, and system design considerations across technical and non-technical teams.
- Optionally contribute to agentic AI modules for workflow automation and data reasoning.
Requirements
- Requires 1–3 years of full-stack software development experience; fresh graduates are welcome.
- Requires proficiency in backend languages such as Node.js, Python, or Java.
- Requires understanding of REST or GraphQL APIs and experience with frontend frameworks such as React, Vue, or Angular.
- Requires knowledge of big-data application fundamentals and distributed system principles.
- Requires experience with SQL and at least one NoSQL technology.
- Requires familiarity with cloud deployment and Git-based development workflows.
- Requires demonstrated use of AI tools to improve software development speed or quality.
- Requires a bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field.
- Preferred qualifications include exposure to LLM-based systems or agentic AI frameworks, semiconductor datasets, Docker, Kubernetes, and strong analytical and debugging skills.
Benefits
- Location: Zhubei, Taiwan.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.