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Senior Full Stack Software Engineer – CAD Infrastructure Team

Job in Santa Clara, Santa Clara County, California, 95050, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Backend Developer, Full Stack Developer, Cloud Engineer - Software
Job Description & How to Apply Below

Senior Full Stack Software Engineer

Qualcomm's CAD Infrastructure team develops and operates mission-critical engineering platforms used by thousands of engineers across CPU, DSP, AI, SoC, Physical Design, Verification, and Software organizations. We are seeking a Senior Full Stack Software Engineer to design, build, and scale modern web applications, automation platforms, data services, and AI-enabled solutions that improve engineering productivity across the company.

This role is ideal for an experienced engineer who enjoys working across the full technology stack—from intuitive front-end user experiences to highly scalable backend services, cloud-native infrastructure, data platforms, and AI-driven workflows.

You will collaborate closely with engineering teams, technical program managers, Dev Ops engineers, and infrastructure architects to deliver tools that are used daily by Qualcomm's engineering community.

Responsibilities

  • Design, develop, and maintain enterprise-grade full stack applications used across engineering organizations.
  • Build modern web UIs using React, Type Script, and modern frontend frameworks.
  • Develop scalable backend services and APIs using Python, Node.js, FastAPI, Express, or similar technologies.
  • Design and implement RESTful and GraphQL APIs.
  • Build and optimize large-scale data platforms leveraging SQL and No

    SQL databases.
  • Develop automation workflows for engineering productivity, infrastructure management, analytics, and reporting.
  • Partner with infrastructure teams to deploy and operate applications in Kubernetes and containerized environments.
  • Build dashboards, reporting platforms, and data visualization tools.
  • Integrate AI/ML and LLM technologies into internal engineering workflows where applicable.
  • Drive software architecture discussions, technical design reviews, and best practices.
  • Mentor junior engineers and contribute to engineering excellence across the team.
  • Troubleshoot performance, scalability, reliability, and security issues in production environments.
  • Collaborate with cross-functional teams to translate business and engineering requirements into technical solutions.

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related field.
  • 8+ years of professional software development experience.
  • Strong experience building and deploying full stack web applications.
  • Expert-level programming skills in Python.
  • Strong experience with JavaScript/Type Script and Node.js.
  • Experience developing modern front-end applications using React.
  • Experience building REST APIs and microservices.
  • Strong understanding of software design patterns, object-oriented programming, and distributed systems.
  • Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
  • Experience with No

    SQL databases such as MongoDB.
  • Experience with Git-based development workflows.
  • Experience working in Linux environments.
  • Strong debugging, performance tuning, and problem-solving skills.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience supporting EDA, CAD, semiconductor design, verification, or high-performance computing environments.
  • Experience with Kubernetes, Docker, Rancher, or cloud-native platforms.
  • Experience with CI/CD pipelines and Dev Ops practices.
  • Experience with message brokers such as RabbitMQ, Kafka, or similar technologies.
  • Experience building data analytics and reporting solutions.
  • Experience with Elasticsearch, Kibana, Splunk, or observability platforms.
  • Experience with LSF, Slurm, or distributed job scheduling systems.
  • Experience developing AI/LLM-powered applications and integrations.
  • Experience with authentication frameworks such as OAuth2, SAML, LDAP, or Active Directory.
  • Experience leading technical projects and mentoring engineers.

Technical Skills Front End

  • React
  • Type Script
  • JavaScript (ES6+)
  • Redux / Zustand
  • HTML5
  • CSS3
  • Material UI / AG Grid
  • Modern UI/UX design principles

Back End

  • Python
  • FastAPI
  • Node.js
  • Express.js
  • REST APIs
  • GraphQL

Databases

  • MongoDB
  • PostgreSQL
  • MySQL
  • Redis

Infrastructure & Dev Ops

  • Kubernetes
  • Docker
  • Git
  • CI/CD Pipelines
  • Linux
  • Terraform (preferred)

Data & Analytics

  • SQL
  • Elasticsearch
  • Kibana
  • Splunk
  • Data Pipelines

AI & Emerging Technologies

  • LLM Integration
  • RAG Architectures
  • Agentic AI Systems
  • Vector Databases

What Success Looks Like

  • Deliver highly scalable platforms used by thousands of engineers.
  • Increase engineering productivity through automation and self-service solutions.
  • Improve reliability, performance, and observability of critical infrastructure services.
  • Lead architectural decisions for next-generation CAD infrastructure platforms.
  • Mentor engineers and elevate engineering standards across the organization.

Why Qualcomm CAD Infrastructure?

Join a team responsible for building the platforms that enable Qualcomm's world-class semiconductor and AI products. Your work will directly impact engineering efficiency, design productivity, and innovation across multiple generations of Snapdragon and other leading technologies.

Minimum Qualifications:

• Bachelor's degree in…

Position Requirements
10+ Years work experience
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