Qualcomm
Software Engineer, AI Software Core (Multiple levels)
Qualcomm, San Diego, California, United States, 92189
Software Engineer, AI Software Core (Multiple levels)
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Software Engineer, AI Software Core (Multiple levels)
role at
Qualcomm
Company: Qualcomm Technologies, Inc.
Job Area: 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 an AI Software Core 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 role you will be responsible for designing, developing, and optimizing features for the Qualcomm AI Stack within the 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.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware, Software, or Systems Engineering experience.
Master’s degree in the same field and 3+ years of experience.
Ph.D. in the same field and 2+ years of 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.
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 or assist in feature development and the 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 independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.
Minimum Qualifications (Must Have)
Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
2+ years (Senior) / 5+ years (Staff) of general software development experience.
Proficiency in software development using C/C++.
Experience with development in a Linux environment.
Strong software development skills, including data structure and algorithm design, object‑oriented or other software design paradigms, debugging, and testing.
Excellent communication skills (verbal, presentation, and writing).
Preferred Qualifications (Desired)
Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
1+ years (Senior) / 3+ years (Staff) of experience building embedded software applications.
Familiarity with various generative AI model architectures such as LLMs.
Strong understanding of hardware acceleration and deployment of generative AI inference at the connected edge.
Experience with development in various platforms such as Linux, Android, or Windows.
Knowledge of low‑level interactions between operating systems (e.g., Linux, Android, Windows) and hardware.
Experience with CMake‑based build environments.
Experience using or integrating Qualcomm AI Stack products (e.g., QNN, Genie).
Experience with agile software development practices and git‑based SCM.
Ability to collaborate across a globally diverse team and manage multiple interests.
Annual base pay range: $140,800 – $237,600 (USD).
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process.
EEO Employer: Qualcomm is an equal‑opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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Software Engineer, AI Software Core (Multiple levels)
role at
Qualcomm
Company: Qualcomm Technologies, Inc.
Job Area: 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 an AI Software Core 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 role you will be responsible for designing, developing, and optimizing features for the Qualcomm AI Stack within the 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.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware, Software, or Systems Engineering experience.
Master’s degree in the same field and 3+ years of experience.
Ph.D. in the same field and 2+ years of 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.
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 or assist in feature development and the 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 independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.
Minimum Qualifications (Must Have)
Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
2+ years (Senior) / 5+ years (Staff) of general software development experience.
Proficiency in software development using C/C++.
Experience with development in a Linux environment.
Strong software development skills, including data structure and algorithm design, object‑oriented or other software design paradigms, debugging, and testing.
Excellent communication skills (verbal, presentation, and writing).
Preferred Qualifications (Desired)
Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
1+ years (Senior) / 3+ years (Staff) of experience building embedded software applications.
Familiarity with various generative AI model architectures such as LLMs.
Strong understanding of hardware acceleration and deployment of generative AI inference at the connected edge.
Experience with development in various platforms such as Linux, Android, or Windows.
Knowledge of low‑level interactions between operating systems (e.g., Linux, Android, Windows) and hardware.
Experience with CMake‑based build environments.
Experience using or integrating Qualcomm AI Stack products (e.g., QNN, Genie).
Experience with agile software development practices and git‑based SCM.
Ability to collaborate across a globally diverse team and manage multiple interests.
Annual base pay range: $140,800 – $237,600 (USD).
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process.
EEO Employer: Qualcomm is an equal‑opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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