Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We are seeking a highly skilled Senior Software Engineer to join our Program Management Tools team. This role sits at the intersection of agentic AI workflow development and full-stack web applications. You will design and build AI agents that automate the program and product management lifecycle — idea intake, requirements management, planning, execution status reporting, and cross-team coordination — running in parallel with the agentic SW engineering AI SDLC workflow. You will also build full-stack web applications with AI capabilities for our program managers, product managers, engineering leaders, and executives. The work pairs deep technical skills with genuine functional fluency. You will: • Work with a team of talented SW engineers delivering innovative solutions. • Design and implement agentic systems, advanced orchestration logic, and the reasoning workflows behind them. • Develop and maintain high-performance, scalable, and reliable SW and web applications. • Collaborate with cross-functional teams to identify and solve complex software problems. • Work directly with program managers and engineering leaders to turn workflow ideas into working agents and applications. Key Responsibilities • Design, build, and deliver AI agents that automate workflows • Architect a multi-agent platform that runs in parallel with the agentic software development lifecycle, so PM agents and engineering SDLC agents can exchange plans, context, and signals over the same program data. • Develop full-stack web applications with generative AI functionality built in — conversational interfaces, natural-language querying over program data, automated summarization, and in-context recommendations. • Build backend services and APIs in C#, .NET, Python and TypeScript, and modern Angular/React front end, integrating with Jira, Microsoft 365, Confluence, and SQL/NoSQL data stores. • Enable AI insights/alerts over governed program data and validate answer accuracy and business relevance with stakeholders. • Define and apply agentic engineering standards: tool and MCP server contracts, plug-ins, prompt and context management, memory, guardrails, human-in-the-loop approval, and evaluation and observability harnesses for agent quality. Required Qualifications • Hands-on experience with agentic AI and LLM application development — tools calling, planning and orchestration, retrieval-augmented generation, prompt and context engineering, and agent evaluation. • Strong programming skills in Python and TypeScript, with demonstrated full-stack, enterprise-grade web application development (Angular or React). • Experience building full-stack applications (UI + backend services + APIs) • Proven ability to build clean, intuitive, and performant UI • Hands-on experience developing or integrating AI-powered applications • Familiarity with agentic workflows or orchestration frameworks • Strong understanding of API design, state management, and UI/backend integration • Hands-on experience with agentic runtimes and workflow frameworks such as LangGraph, AutoGen, or n8n. • Experience building and consuming API services and integrating with enterprise data platforms and SQL/NoSQL databases. • Proficiency with cloud development and deployment on AWS or Azure • Solid understanding of microservices architecture, enterprise authentication, role-based access control, and security best practices. • Demonstrated ability to translate business and functional requirements into technical solutions, working directly with business stakeholders. • Excellent problem-solving and communication skills. • Work independently within a fast-paced and collaborative team environment and multi-task efficiently. Preferred Qualifications • Strong programming skills in C#, .NET, Python, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS • Exposure to building or integrating AI-driven or GenAI-assisted features within enterprise applications. • Experience with agentic software development lifecycle tooling — coding agents, automated code review, test generation, or CI/CD automation driven by LLMs. • Exposure to AI platform engineering and Model Context Protocol (MCP) servers. • Experience with natural-language-to-SQL or querying over governed datasets • Deep integration experience with Jira, Confluence, or Microsoft 365 APIs (Microsoft Graph). • Knowledge of workflow orchestration, event-driven architecture, • Ability to take high-level direction and independently drive end-to-end implementation • Prior experience in a matrixed, global organization with distributed teams. 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. 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 .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > Software Engineering
The work pairs deep technical skills with genuine functional fluency. You will:
Work with a team of talented SW engineers delivering innovative solutions.
Design and implement agentic systems, advanced orchestration logic, and the reasoning workflows behind them.
Develop and maintain high-performance, scalable, and reliable SW and web applications.
Collaborate with cross-functional teams to identify and solve complex software problems.
Work directly with program managers and engineering leaders to turn workflow ideas into working agents and applications.
Design, build, and deliver AI agents that automate workflows
Architect a multi-agent platform that runs in parallel with the agentic software development lifecycle, so PM agents and engineering SDLC agents can exchange plans, context, and signals over the same program data.
Develop full-stack web applications with generative AI functionality built in — conversational interfaces, natural-language querying over program data, automated summarization, and in-context recommendations.
Build backend services and APIs in C#, .NET, Python and TypeScript, and modern Angular/React front end, integrating with Jira, Microsoft 365, Confluence, and SQL/NoSQL data stores.
Enable AI insights/alerts over governed program data and validate answer accuracy and business relevance with stakeholders.
Hands-on experience with agentic AI and LLM application development — tools calling, planning and orchestration, retrieval-augmented generation, prompt and context engineering, and agent evaluation.
Strong programming skills in Python and TypeScript, with demonstrated full-stack, enterprise-grade web application development (Angular or React).

Nice-to-haves

Strong programming skills in C#, .NET, Python, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS
Exposure to building or integrating AI-driven or GenAI-assisted features within enterprise applications.
Experience with agentic software development lifecycle tooling — coding agents, automated code review, test generation, or CI/CD automation driven by LLMs.
Exposure to AI platform engineering and Model Context Protocol (MCP) servers.
Experience with natural-language-to-SQL or querying over governed datasets
Deep integration experience with Jira, Confluence, or Microsoft 365 APIs (Microsoft Graph).
Knowledge of workflow orchestration, event-driven architecture,
Ability to take high-level direction and independently drive end-to-end implementation
Prior experience in a matrixed, global organization with distributed teams.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythontypescriptangularreactjirasqlllmapiawsazurejavascriptnode.jsci/cdjavarest

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