This role pays less than
54%
of similar roles. Most pay
$149,500–$207,856
— the shaded band above.
At the midpoint, this role pays about
$176k
versus about
$179k
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.
Entry level & Senior Software Engineer, Core AI Software (Onsite) joins the Machine Learning Engineering team to develop and implement machine learning techniques for various technology verticals. The role focuses on designing and developing core software within the Qualcomm AI Runtime (QAIRT) SDK and Generative AI Inference Extensions (Genie). You will build components of the AI Stack runtime framework to support advanced deep neural networks, large language models, and other modern architectures on resource-constrained systems. Key responsibilities include optimizing runtime efficiency, latency, and power consumption for machine learning workloads on low-power accelerators while performing root cause analysis and debugging. Required skills include proficiency in C/C++, Linux environment development, data structures, algorithm design, and object-oriented programming. The role addresses the technical challenge of deploying generative AI inference at the connected edge with small memory footprints.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Develop software for the QAIRT and Genie SDKs to support generative AI models on Snapdragon platforms.
Design and implement core components of the Qualcomm AI Stack runtime framework for resource-constrained systems.
Optimize inference performance, latency, and power consumption for machine learning workloads on low-power accelerators.
Validate and analyze the performance and accuracy of software through detailed testing of machine learning use cases.
Debug complex system issues and perform root cause analysis to ensure high reliability.
Integrate advanced machine learning techniques into products and scalable AI solutions.
Participate in design and code reviews to maintain technical excellence within the team.
What we're looking for
A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is required.
A Master's degree in Computer Science, Engineering, or Information Systems is accepted as an alternative to a Bachelor's with 2 years of experience.
A PhD in Computer Science, Engineering, Information Systems, or a related field is also an acceptable educational qualification.
Candidates must have project/internship experience for entry-level roles or at least 2 years of general software development experience for senior roles.
Proficiency in C/C++ programming and experience developing in Linux environments are required.
Strong skills in data structures, algorithm design, object-oriented programming, debugging, and testing are required.
Experience with embedded software, generative AI architectures (LLMs), and hardware acceleration is preferred.
Familiarity with CMake build environments, Git-based SCM, and agile development practices is preferred.