Full Stack Software Engineer - Hardware Engineering

Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:

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:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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