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/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.
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 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.
- Technical Skills
- Front End
React
TypeScript
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 & DevOps
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 Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
- OR
- Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits
$175,600.00 - $263,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
