This role pays more than
52%
of similar roles. Most pay
$161,250–$241,937
— the shaded band above.
At the midpoint, this role pays about
$203k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
As a Datacenter AI Systems and Solutions Engineer, Sr Staff, you will join the systems engineering team to research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions for cutting-edge AI datacenter technology. You will lead the development of end-to-end AI/ML solutions integrating Qualcomm hardware and system software to improve inference performance, power efficiency, and scalability. Your daily work involves designing and optimizing Generative AI and LLM-based applications while performing model benchmarking and workload characterization. The role requires proficiency in Python, ML frameworks, REST services, and microservice architectures. You will utilize tools such as Docker, Kubernetes, GitOps, and Slurm to manage distributed systems. Key technical domains include transformer models, diffusion models, MLOps practices, and hardware/software co-design to solve complex problems in AI inference serving across heterogeneous hardware environments.