Senior Software Engineer, Core AI Software; Onsite

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.

• 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 independently with minimal supervision and provide guidance to junior team members. Decision‑making will impact your direct area of work and the broader work group.

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
• 5+ years (Staff) / 8+ years (Senior 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, software debugging, and testing.
• Excellent communication skills (verbal, presentation, and writing).

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• 3+ years 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/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.

• 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.
• 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.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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‑ or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

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