Staff Full‐Stack Developer

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

Qualcomm Global Trading Pte. Ltd. seeks a Staff Full‑Stack Developer to design and deliver scalable big‑data analytic applications for semiconductor product environments.

You will architect end‑to‑end systems, build secure microservices, and craft intuitive front‑ends for yield and quality dashboards. You will work across product, manufacturing, and reliability engineering, applying AI tools to accelerate productivity and automate complex workflows, while communicating tradeoffs to stakeholders

Qualifications

• 7–10 years of professional full‑stack development experience.
• Strong backend in Node.js or Python and modern frontend in React/Angular.
• Experience with SQL/NoSQL databases and cloud deployments on Azure/AWS/GCP.

Responsibilities

• Architect, design, and develop full‑stack analytics applications for high‑volume data.
• Build robust backend services, microservices, and APIs for scalable processing.
• Create front‑end interfaces for data visualization and dashboards.
• Model data across SQL and NoSQL systems for device, product, and test data.
• Collaborate with product, test engineering, and IT teams.
• Leverage AI/LLM tools to accelerate coding, docs, and data analysis.

Skills

Communication

AI tools

Big-data analytics

Problem solving

LLM integration

Education

Bachelor's degree

Master's degree

PhD

Tools

Node.js

Python

React

Angular

PostgreSQL

MySQL

MS SQL

MongoDB

DynamoDB

Redis

Azure

AWS

GCP

Kafka

RabbitMQ

C

C++

Java

Job description

Company

Qualcomm Global Trading Pte. Ltd.

Job Area

Engineering Group, Engineering Group > Software Engineering

Role Overview

We are seeking a Staff 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 team.
• Use AI/LLM‑based tools for code acceleration, documentation, data analysis, and engineering‑vibe synthesis (e.g., summarizing complex discussions, generating prototypes, analyzing large datasets).
• Provide clear communication of design decisions, tradeoffs, and architectural recommendations to technical and non‑technical stakeholders.
• Hands‑on experience to contribute into 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 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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 removed] 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).

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.

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