20 hours ago
Singapore, SingaporeStaff+
Responsibilities
- Architect, design, and develop full-stack systems for high-volume data and analytics applications.
- Build backend services, microservices, and APIs for secure and scalable engineering and manufacturing data processing.
- Develop front-end interfaces for data visualization, yield and quality dashboards, and analytics workflows.
- Design and optimize data models across SQL and NoSQL platforms for device, product, and test data.
- Collaborate with product engineering, test engineering, IT, and other cross-functional partners.
- Use AI and LLM-based tools for code acceleration, documentation, data analysis, and workflow automation.
- Contribute to agentic AI application design, including autonomous data-processing agents, agent workflows, and LLM-tool integrations.
- Communicate design decisions, tradeoffs, and architectural recommendations to technical and non-technical stakeholders.
Requirements
- 7–10 years of professional full-stack development experience.
- Strong backend expertise in Node.js or Python.
- Proficiency with modern front-end frameworks such as React or Angular.
- Strong understanding of big-data architecture, distributed computing, and data pipelines.
- Hands-on experience with SQL databases including PostgreSQL, MySQL, and MS SQL, and NoSQL systems including MongoDB, DynamoDB, and Redis.
- Experience deploying systems on Azure, AWS, or GCP.
- Excellent communication skills and ability to explain complex concepts across technical and cross-functional teams.
- Demonstrated use of AI tools to improve software engineering output, analytics velocity, or workflow automation.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field plus 4+ years of related experience; or a master's degree plus 3+ years; or a PhD plus 2+ years.
- At least 2 years of work experience with a programming language such as C, C++, Java, or Python.
- Preferred qualifications include agentic AI or LLM-integrated application design, semiconductor engineering data familiarity, Kafka or RabbitMQ experience, and strong system design, architecture, and documentation skills.
Tech Stack
Amazon DynamoDBAngularApache KafkaAWSAzureCC++Google Cloud PlatformJavaMongoDBMySQLNode.jsPostgreSQLPythonRabbitMQReactRedisSQL
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.