Senior Staff Engineer, Machine Learning Engineering, On-device Learning SW
Qualcomm
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How this pay compares to similar roles
This role pays more than 66% of similar roles. Most pay $176,000–$254,750 — the blue band above. At the midpoint, this role pays about $243k versus about $215k for comparable roles.
Based on 240 similar postings.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 575 open roles on FindRole.
Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.
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At a glance
The Senior Staff Engineer, Machine Learning Engineering ( Agentic AI SW ) joins the Machine Learning Engineering team to advance state-of-the-art AI technologies on edge devices. This role involves leading the development of end-to-end embedded AI software and runtime systems to orchestrate neural network models on hardware. You will design, develop, debug, and optimize AI/ML frameworks, compiler technologies, and model efficiency tools to improve performance, power efficiency, and scalability. Key responsibilities include prototyping novel agentic software solutions and translating machine learning research into production-ready technologies. Required skills include C/C++, Python, and experience with low-level interactions between operating systems like Linux, Android, or QNX. You will solve technical problems regarding on-device inference for NLP and multi-media, specifically focusing on model onboarding and software performance optimization.
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