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Staff & Senior Staff Software Engineer, Core AI Software (Onsite)

qualcomm
San Diego, United Statesfull_timeVerifiedPosted 3 May 2026
💰 $237,600/yr($158,400/yr$237,600/yr)

About the role


Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals. 

In this position, you will be responsible for leading software design and development of the Qualcomm AI Stack features within Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie). You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on Qualcomm’s low-power AI accelerators. 

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.  

 

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities 

  • Develop software for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms. 

  • Design and implement core components of Qualcomm AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms   

  • Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases. 

  • Debug complex issues, perform root cause analysis, and ensure high system reliability 

  • Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.  

  • Lead feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same. 

  • Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team. 

  • Participate in design and code reviews. 

  • Work independentl

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Company

qualcomm

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