Senior AI Software Engineer - Mobile AI Stack

Qualcomm Incorporated

San Diego (CA)

On-site

USD 141,000 - 211,000

Full time

13 days ago

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Job summary

Qualcomm Technologies, Inc. is seeking a Senior Software Engineer for the AISW team to lead AI software development across QAIRT and Genie, enabling state-of-the-art AI inference on Snapdragon mobile platforms.

You will optimize runtime, latency, power, and reliability while aligning with customer needs and OEM launches. You will collaborate with Mobile BU and cross-functional teams to ensure end-to-end readiness, performance, and robustness for real-world mobile deployments, driving quality and

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Information Systems, or 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.

Responsibilities

  • 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.

Skills

C/C++ programming
Linux development
Software engineering
Debugging
Communication skills

Education

Bachelor's degree in Engineering, Computer Science, Information Systems, or related field
Master's degree in Computer Science, Engineering, Information Systems, or related field
PhD in Computer Science, Engineering, Information Systems, or related field

Tools

CMake
Git
Qualcomm AI Stack

Job description

Qualcomm Technologies, Inc. is seeking a Senior Software Engineer for the AISW team to lead AI software development across QAIRT and Genie, enabling state-of-the-art AI inference on Snapdragon mobile platforms.

You will optimize runtime, latency, power, and reliability while aligning with customer needs and OEM launches. You will collaborate with Mobile BU and cross-functional teams to ensure end-to-end readiness, performance, and robustness for real-world mobile deployments, driving quality and

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