Qualcomm
Senior Full Stack Software Engineer – CAD Infrastructure Team
$176K–$263K
Santa Clara, California +1 · On-site · Senior · Full-time · Posted Sep 17, 2026
- Location
- Santa Clara, California
Folsom, California - Experience
- 8+ years of professional software development experience. The posting also lists alternative minimum qualifications: bachelor's degree and 4+ years, master's degree and 3+ years, or PhD and 2+ years of related work experience.
- Education
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or a related field. Minimum qualifications also list Electrical Engineering and related work experience.
About the job
Designs and operates full-stack engineering platforms, automation, data services, and AI-enabled workflows that improve productivity across Qualcomm’s engineering organizations.
What you'll do
- Build and maintain web applications, backend services, APIs, and data platforms.
- Develop automation, dashboards, and AI/ML or LLM integrations; deploy and operate services in Kubernetes and containerized environments.
- Lead architecture and design discussions, troubleshoot production issues, and mentor engineers.
What they ask for
- Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or a related field.
- 8+ years of professional software development experience.
- Expert-level Python skills, with strong JavaScript/TypeScript and Node.js experience and experience building React applications.
- Experience with REST APIs and microservices, relational and NoSQL databases, Git workflows, and Linux.
Nice to have
- Experience in EDA, CAD, semiconductor design, verification, or high-performance computing environments.
- Experience with Kubernetes, Docker, CI/CD, AI/LLM applications, or distributed job scheduling systems.
Pay
$175,600.00 - $263,400.00 USD base salary
Tools
React, TypeScript, Python, Node.js, FastAPI, Express.js, PostgreSQL, MongoDB
AI focus
Integrate AI/ML and LLM technologies into internal engineering workflows; the posting also names LLM Integration, RAG Architectures, Agentic AI Systems, and Vector Databases.
Model-written summary · the original posting is authoritative