Entry level & Senior Software Engineer, Core AI Software; Onsite

General Summary

Qualcomm Technologies, Inc. is a leading technology innovator, pushing the boundaries of what's possible to enable next‑generation experiences and drive digital transformation. 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.
• Assist in 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.

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
• Projects or internships experience (entry level) or 2+ years of general software development experience (senior).
• 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.
• 1+ years of experience building embedded software applications.
• Familiarity with 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 on Linux, Android, or Windows platforms.
• Knowledge of low‑level interactions between operating systems (e.g., Linux, Android, Windows) and hardware.
• Experience with CMake‑based build environments.
• Experience with 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.

Pay range: $ – $. The salary is only one component of total compensation and may include a competitive annual discretionary bonus program and annual RSU grants. Qualcomm also offers a comprehensive benefits package.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Campus:
Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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.