Sr. Engineer, AI Platforms
$111,300 - $166,900 USD yearly
Originally posted 1 July 2026 by the employer.
About the role
Qualcomm is seeking a hands-on Senior Software Engineer for the Enterprise AI Platform and Solutions team to contribute to the design, development, and delivery of AI-powered developer tools and platform capabilities. The role focuses on developing developer tools such as VS Code plugins, backend services, and enterprise-scale search, retrieval, and indexing systems.
What you'll do
- Build and enhance end-to-end AI-powered applications, including frontend developer tools such as VS Code plugins and backend services. - Develop and integrate LLM-powered features into enterprise applications to support intelligent workflows and contextual assistance. - Contribute to enterprise-scale search, retrieval, and indexing systems for processing codebases and knowledge assets. - Design, build, and maintain APIs, services, and integration layers to expose AI/ML capabilities across applications and developer tools. - Iterate on UI/UX features and debug issues across application layers, including frontend, backend, and AI/LLM-driven components. - Collaborate with platform, infrastructure, and product teams to deliver scalable AI solutions.
What you'll need
- 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 with 1+ year of experience, or PhD). - 2+ years of academic or work experience with programming languages such as C, C++, Java, or Python.
Nice to have
- Strong programming skills in C#.NET, Python, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS. - Experience building full-stack applications across UI, backend services, and APIs. - Hands-on experience developing or integrating LLM-based / AI-powered applications. - Familiarity with agentic workflows, orchestration frameworks, multi-agent systems, and evaluation frameworks. - Experience with tracing/observability tools for LLM systems, Elasticsearch / vector search, and Docker / Kubernetes exposure.
Skills: AI-powered applications, LLM-powered features, API design, Elasticsearch, Docker/Kubernetes
This role has been open 112 days — well above the 83-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
511
|
Median days open
83 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (511 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 511 |
| Open roles in the wider Software, Firmware & Systems family | 728 | 6296 · 145 employers |
| Median days open | 112 d | 83 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI-powered applications, LLM-powered features, API design, Elasticsearch, Docker/Kubernetes
Who's hiring in this category
- Qualcomm (this employer) · 103 open roles · median 112 d
- NVIDIA · 91 open roles · median 56 d
- AMD · 40 open roles · median 85 d
- Micron Technology · 27 open roles · median 56 d
- Analog Devices · 18 open roles · median 39 d
- Mobileye · 18 open roles · median 84 d
How we counted: 511 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.