Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 57 days ago
- 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 $152,075–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
We are seeking a Senior Mobile Software Architect to join our Snapdragon Handset team, where you will play a pivotal role in shaping the future of mobile AI software. As part of this senior position, you will lead the development and optimization of high-level designs for new use-cases and features on Snapdragon platforms, focusing on performance and power enhancements. You will collaborate closely with cross-functional teams to drive technical initiatives, conduct design reviews, and influence external partners to align project goals. Ideal candidates possess extensive experience in mobile software architecture, system SW performance optimization, and a deep understanding of AI frameworks like TensorFlow and PyTorch. Familiarity with Mobile platforms, Android framework, and embedded systems is crucial, alongside strong communication and leadership skills to guide development teams towards innovative solutions.
Skills
What you'll do
- Develop architecture for complex AI features on Snapdragon Mobile products.
- Recommend and implement enhancements to the software architecture and design.
- Participate in design reviews, providing technical expertise and recommendations.
- Influence external partners to align project plans with stakeholder needs.
- Stay updated on AI trends, competitor products, and engineering advancements.
What we're looking for
- Extensive experience in mobile software architecture and deployment.
- Proficient in optimizing system software performance on CPU, GPU, NPU.
- Expertise in AI frameworks like TensorFlow and PyTorch, with knowledge of large language models.
- Experience in architecting complex heterogeneous systems for AI applications.
- Strong understanding of the complete AI software stack and hardware acceleration technologies.
- Background in algorithm development and performance analysis using profiling tools.
- 10+ years of experience in high-performance computing system engineering or software.
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Qualcomm