Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 33 days ago
- Closes
- Oct 31, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,037–$208,800.
Based on 238 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 558 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.
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At a glance
TL;DR · Careers
We are seeking a Software Engineer with expertise in Android platform development and on-device AI frameworks such as Qualcomm AI stack, TFLite, and PyTorch edge to join our dynamic team at Qualcomm. This role involves prototyping, designing, developing, and supporting the commercialization of embedded and cloud software solutions for advanced mobile applications. Day-to-day responsibilities include enhancing features in the Android Platform stack across various layers, integrating on-device large language models (LLMs), and vector databases. Ideal candidates should have experience with C++, Java, or Rust, a solid understanding of operating systems and concurrency, and proficiency in git. Familiarity with embedded Linux, Android SDK, NDK, and ARM processors is highly desirable, as well as hands-on experience with modern AI/ML development tools and techniques.
What you'll do
- Design and develop features for the Android Platform stack at various layers.
- Integrate on-device large language models (LLMs) and vector databases into software solutions.
- Prototype and support commercialization of embedded and cloud software solutions.
- Work with AI runtimes such as TFLite, PyTorch Edge, and Qualcomm AI Stack.
- Debug software issues and analyze crash dumps for Android-based systems.
- Enhance security features in HALs and other components of the Android OS architecture.
What we're looking for
- Experience with Android platform development including SDK, NDK, and OS concepts.
- Proficiency in C++, Java, or Rust for object-oriented software development.
- Strong understanding of operating systems, concurrency, and data structures.
- Prior experience with on-device AI runtimes like TFLite, PyTorch Edge, and Qualcomm AI stack.
- Solid git proficiency and excellent written and verbal communication skills.
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