Staff Software Engineer, Core AI Software (Mobile BU Focus) _ Onsite

* Lead development of software for Qualcomm AI Stack SDKs (QAIRT, Genie) to enable execution of state-of-the-art generative and traditional AI models on Snapdragon mobile platforms.

* 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.

* Demonstrate a strong focus and obsession toward customer satisfaction, ensuring issues impacting customer experience are prioritized, addressed with urgency, and resolved with high quality.

* Proactively improve internal and customer workflows related to AI tools, SDKs, documentation, and processes to enhance ease of use, debuggability, and overall developer experience.

* Collaborate with cross-functional teams including Mobile BU, product leads, systems, validation, performance, and customer engineering teams to ensure end-to-end readiness for commercial launches.

* 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.

* Lead feature development and influence technical direction to enable customers and partners to effectively deploy AI solutions on Qualcomm platforms.

* Participate actively in design and code reviews, setting high standards for code quality, maintainability, and scalability.

* Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement within the AI Software organization.

* Work independently with minimal supervision; technical decisions will impact both your immediate area and broader cross-team deliverables.

* Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field.

* 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.

* 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.

* 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.