Responsibilities

• 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 .

Minimum Qualifications (Must Have)

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

• Projects or Internship s experience (Entry level) / 2 + years (Senior) 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 ).

Preferred Qualifications (Desired)

• Master’s degree in Computer Science , Computer Engineering, or Electrical Engineering.

• 1 + 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.