Senior Full‑Stack Developer

Qualcomm; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Qualcomm is seeking a Senior Full‑Stack Developer in Singapore to support engineering initiatives within a semiconductor product environment. You will design and deliver scalable big‑data analytic applications, collaborating closely with product and operations teams.

The ideal candidate has over 7 years of experience, strong backend expertise in Node.js or Python, and proficiency in modern front-end frameworks. This role also emphasizes the use of AI tools to enhance engineering productivity and problem-solving.

Qualifications

• 7–10 years of professional full-stack development experience.
• Hands-on experience with SQL databases and NoSQL systems.
• Excellent communication skills with ability to explain complex concepts.

Responsibilities

• Architect, design, and develop full-stack systems for analytics applications.
• Build robust backend services and APIs.
• Develop user-centric front-end interfaces for data visualization.
• Collaborate closely with cross-functional partners.
• Use AI tools for code acceleration and data analysis.

Skills

Full-stack development experience

Backend expertise in Node.js or Python

Proficiency in front-end frameworks (React, Angular)

Big-data system architecture knowledge

Experience with SQL and NoSQL databases

Cloud deployment skills (Azure, AWS, GCP)

Communication skills

Use of AI tools

Education

Bachelor's degree in relevant fields

Master's degree in relevant fields

PhD in relevant fields

Job description

Company: Qualcomm Global Trading Pte. Ltd.

Job Area: Engineering Group, Software Applications Engineering

Role Overview

We are seeking a Senior Full‑Stack Developer to support advanced engineering and analytics initiatives within a semiconductor product environment. The successful candidate will design and deliver scalable big‑data analytic applications used across product, manufacturing, quality, and reliability engineering workflows. This role requires strong technical depth, excellent cross‑team communication, and the ability to leverage modern AI tools to accelerate engineering productivity and drive efficient problem‑solving.

Key Responsibilities

• Architect, design, and develop full‑stack systems for high‑volume data and analytics applications supporting semiconductor product and operations teams.
• Build robust backend services, microservices, and APIs to enable secure, scalable processing of engineering and manufacturing datasets.
• Develop user‑centric and intuitive front‑end interfaces for data visualization, yield/quality dashboards, and analytic workflows.
• Design and optimize data models across SQL and NoSQL platforms used for device, product, and test data.
• Collaborate closely with cross‑functional partners including product and test engineering and IT teams.
• Use AI/LLM‑based tools for code acceleration, documentation, data analysis, and engineering‑vibe synthesis (for example, summarizing complex discussions, generating prototypes, analyzing large datasets).
• Provide clear communication of design decisions, tradeoffs, and architectural recommendations to technical and non‑technical stakeholders.
• (Plus) Contribute to agentic AI application design, including autonomous data processing agents, agent workflows, or LLM‑tool integrations.

Required Qualifications

• 7–10 years of professional full‑stack development experience.
• Strong backend expertise in one or more of: Node.js, Python.
• Proficiency in modern front‑end frameworks (React, Angular).
• Strong foundational understanding of big‑data system architecture, distributed computing, and data pipelines.
• Hands‑on experience with SQL databases (PostgreSQL, MySQL, MS SQL) and NoSQL systems (MongoDB, DynamoDB, Redis).
• Experience deploying systems on cloud environments (Azure, AWS, or GCP).
• Excellent communication skills with ability to explain complex concepts to engineers, managers, and cross‑functional teams.
• Demonstrated use of AI tools to enhance software engineering output, analytics velocity, or workflow automation.

Preferred Qualifications

• Experience designing agentic AI systems or LLM‑integrated applications.
• Familiarity with semiconductor engineering data (yield, parametric, test logs, product data, reliability data).
• Experience with Kafka, RabbitMQ, or other event‑driven systems.
• Strong system design, architecture, and documentation skills.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of any combination of academic and/or work experience with debugging techniques.

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 disability‑[e-mail] or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.