Sr. Engineer, AI Platforms at Qualcomm
San Diego, CA
$111,300–$166,900from the description
Jun 30, 2026
San Diego, CA
Jul 21, 2026
What this job asks for AI summary
A full-stack engineering role focused on building AI-powered developer tools and enterprise platform capabilities, including IDE plugins, backend services, and LLM-integrated features. Day-to-day work spans frontend UI development, API design, and search/retrieval systems, with an emphasis on weaving large language model functionality into practical workflows. Best suited to engineers comfortable owning end-to-end delivery across both traditional and AI-driven application layers.
Mid level · 2+ years · National · Bachelor's required · Full-time
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting is titled 'Senior Software Engineer' but the minimum qualifications gate only on 2+ years of experience (or a Master's with 1+ year, or a PhD with none), which is firmly Mid-level scope. The seniority band is assessed as Mid accordingly.
No work location is specified in the posting beyond Qualcomm's general US presence; the CBSA/state fields are left blank. The pay range is US-denominated, confirming a US-based role.
The minimum qualifications list a programming language requirement ('C, C++, Java, Python, etc.') with 2+ years. Python is used as the representative skill with the named alternatives; the 'etc.' signals the list is illustrative rather than exhaustive.
All frontend and backend technology skills (C#.NET, Python, JavaScript, TypeScript, React, Angular, Node.js, HTML, CSS) appear under 'Preferred Qualifications' and are marked preferred accordingly.
LLM integration experience appears under 'Preferred Qualifications'; agentic/orchestration frameworks also appear there.
Elasticsearch/vector search, Docker, Kubernetes, tracing/observability tools, and multi-agent systems all appear under the explicit 'Nice-to-Have' section.
The alternative occupation code 15-1254 (Web Developers) is noted as a distant runner-up given the UI/frontend emphasis, but the role clearly builds full-stack AI-powered applications with backend services and APIs, making 15-1252 the clear primary classification.
Read the full posting
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