Senior Full-Stack Developer

About the role

Qualcomm is seeking a Senior Full-Stack Developer to support advanced engineering and analytics initiatives in a semiconductor product environment. The developer designs and delivers scalable big-data analytic applications used across product, manufacturing, quality and reliability engineering workflows. The role calls for strong technical depth, good cross-team communication and the use of modern AI tools to speed up engineering productivity.

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 for secure, scalable processing of engineering and manufacturing datasets.
• Develop user-friendly 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.
• Work closely with product and test engineering and the IT team.
• Use AI/LLM-based tools for code acceleration, documentation, data analysis and engineering summaries.
• Communicate design decisions, trade-offs 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 profile

• 7-10 years of professional full-stack development experience.
• Bachelor's degree in Engineering, Information Systems, Computer Science or a related field, with 2+ years of software applications engineering or software development experience; or Master's degree with 1+ year of such experience; or PhD with 1+ year of academic and/or work experience in programming and debugging.
• Demonstrated use of AI tools to improve software engineering output, analytics velocity or workflow automation.
• Excellent communication skills, able to explain complex concepts to engineers, managers and cross-functional teams.

Required skills

• Backend expertise in Node.js, Python or similar.
• Front-end frameworks such as React or Angular.
• Understanding of big-data system architecture, distributed computing and data pipelines.
• SQL (PostgreSQL, MySQL, MS SQL) and NoSQL (MongoDB, DynamoDB, Redis).
• Cloud deployment on Azure, AWS or GCP.
• Preferred: agentic AI systems or LLM-integrated applications, semiconductor engineering data, Kafka/RabbitMQ, and strong system design and documentation skills.