Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Company: Qualcomm Incorporated

Job Area: Engineering Group, Engineering Group > Software Engineering

General Summary:

We are looking for a hands-on Senior Software Engineer for our Qualcomm’s Enterprise AI Platform and Solutions team. In this role, the candidate will contribute to the design, development, and delivery of next-generation AI-powered applications, developer experiences, and reusable platform capabilities across the enterprise.

This is a fast-paced, execution-driven position that requires strong ownership, the ability to deliver under tight timelines, and the ability to deliver production-quality solutions under evolving requirements.

This role requires full-time onsite work in San Diego, CA (5 days per week).

Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Key Responsibilities

Build and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, indexing, embeddings, vector search, reranking, retrieval optimization, grounding, and evaluation frameworks.

Develop and integrate LLM-powered capabilities, agents, and AI services into enterprise applications to improve knowledge discovery, automation, productivity, and business workflows.

Design, develop, and enhance end-to-end AI-powered enterprise applications, including backend services, APIs, agentic workflows, and modern user experiences.

Architect, deploy, and operate scalable cloud-native AI solutions on Kubernetes and public cloud platforms, ensuring high availability, security, reliability, and performance at enterprise scale.

Design and implement APIs, MCP-compatible services, enterprise connectors, and integration layers that expose AI, search, and platform capabilities across applications.

Build and maintain production-ready CI/CD pipelines, infrastructure automation, observability, monitoring, tracing, and operational tooling for AI applications and platform services.

Optimize system performance across application, retrieval, inference, and data-processing layers, including latency, throughput, scalability, resiliency, and cost efficiency.

Collaborate with AI/ML, platform, infrastructure, security, and product teams to deliver robust, production-grade AI solutions while establishing engineering best practices, governance, and operational excellence.

Must-Have Qualifications

Strong programming skills in Python, Java, C#.NET, Rust, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS

Experience designing and building full-stack applications, including user interfaces, backend services, APIs, data integration layers, and distributed systems.

Hands-on experience developing, integrating, or deploying AI-powered applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, or agentic workflows.

Experience building enterprise search, retrieval, indexing, or knowledge management solutions using modern search technologies, vector databases, embeddings, or related capabilities.

Experience developing and deploying cloud-native applications on AWS, Azure, or Google Cloud Platform, with familiarity in containerized and Kubernetes-based environments.

Strong understanding of API design, microservices architectures, application integration patterns, authentication, authorization, and frontend/backend interaction.

Experience debugging across both traditional systems and AI/LLM-driven behavior

Nice-to-Have

Tracing/observability tools for LLM systems

Experience with Elasticsearch / vector search

Docker / Kubernetes exposure

Multi-agent systems and evaluation frameworks

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 : $117,800.00 - $176,600.00

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 .