Senior Software Engineer, Core AI Software Onsite (Mobile BU Focus)

Originally posted 14 October 2026 by the employer.

Develop AI software capabilities for OEM and customer launches within Qualcomm's Mobile Business Unit.

About the role

As a Senior Software Engineer in the AI Software (AISW) team, you will deliver AI software capabilities that directly enable successful OEM and customer launches within the Mobile Business Unit (BU). You will lead the design and development of core features in the Qualcomm AI Stack, including Qualcomm AI Runtime (QAIRT) and Generative AI Inference Extensions (Genie).

What you'll do

• Design and implement core AI runtime framework components for inference on resource-constrained mobile systems operating under strict power, memory, and performance constraints.
• Work closely with Mobile BU Points-of-Contact (PoCs) responsible for OEM engagement and product launches to deliver features, bug fixes, and optimizations required for customer success.
• Validate, analyze, and optimize software performance, accuracy, and robustness through detailed testing of mobile AI use cases.
• Debug complex system issues, perform root-cause analysis, and drive fixes across software-hardware boundaries to ensure high reliability in customer environments.
• Participate actively in design and code reviews, setting high standards for code quality, maintainability, and scalability.

What you'll need

• Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field.
• Professional software development experience.
• Strong proficiency in C/C++ software development.
• Experience developing software in Linux environments.
• Solid grounding in data structures, algorithms, software design principles, debugging, and testing.
• Strong verbal and written communication skills, with the ability to work effectively across teams and with customer-facing stakeholders.

Nice to have

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• Experience building embedded and systems-level software for mobile or edge platforms.
• Familiarity with generative AI model architectures (e.g., LLMs) and inference pipelines.
• Understanding of hardware acceleration and deployment of AI inference on edge devices.
• Experience across platforms such as Linux, Android, and/or Windows.
• Knowledge of low-level OS–hardware interactions.
• Experience with CMake-based build environments.
• Prior experience using or integrating Qualcomm AI Stack products (e.g., QNN, Genie).
• Experience with agile development practices and git-based source control.
• Ability to collaborate effectively within a globally distributed, cross-functional team while balancing multiple priorities driven by customer and product milestones.

Skills: Qualcomm AI Stack SDKs, AI runtime framework, generative AI models, hardware acceleration, Linux environments, mobile platforms