Senior Full-Stack Engineer - AI-Powered Analytics

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

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.