AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
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How this pay compares to similar roles
This role pays more than 51% of similar roles. Most pay $155,900–$236,037 — the shaded band above. At the midpoint, this role pays about $203k versus about $196k 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 749 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
As a Qualcomm Datacenter AI Systems and Solutions Engineer at Qualcomm Technologies, Inc., you will lead the development of end-to-end AI/ML solutions that integrate Qualcomm’s AI hardware with system software and ecosystem components to deliver best-in-class performance, power efficiency, and scalability. Your day-to-day responsibilities include driving the design, deployment, and optimization of Generative AI applications, contributing to model fine-tuning strategies, and collaborating across cross-functional teams to ensure high-quality execution. You will leverage Python, ML frameworks, microservice-based architecture, Kubernetes, Docker, and MLOps practices while staying current with advancements in AI/ML models and hardware/software innovations. This role involves working on large-scale AI systems architecture and influencing system requirements through benchmarking and performance analysis, making it ideal for those passionate about cutting-edge data center technology and hybrid AI applications.
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