Senior Full Stack Software Engineer – CAD Infrastructure Team

Qualcomm•Santa Clara, CA

26d•$167,100 - $250,700

About The Position

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, DevOps engineers, and infrastructure architects to deliver tools that are used daily by Qualcomm's engineering community.

Requirements

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/TypeScript 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 NoSQL 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.

Nice To Haves

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 DevOps 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.

Responsibilities

Design, develop, and maintain enterprise-grade full stack applications used across engineering organizations.
Build modern web UIs using React, TypeScript, 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 NoSQL 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.