Entry level & Senior Software Engineer, Core AI Software (Onsite)

the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.

- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field.

* 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.

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

* Projects or Internships experience (Entry level) / 2+ years (Senior) of general software development experience.

* 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 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 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.