Entry Level & Senior Software Engineer, AI Software Platform (Onsite)

the opportunity to demonstrate your passion for software tools (developed in house and/or bring in off-the-shelf AI tools), support AI SW ecosystem across development and test and customer support. You will contribute to software toolchains and system level performance / memory profiling across a wide variety of OSes and platforms.

You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

- 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.

* You will be involved in developing in-house software tools or research off-the-shelf 3rd party toolchains, compilers required for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms for various AI use cases across a wide-variety of SoCs and OS platforms (Android, Linux, QNX, Windows, Zephyr, etc.)

* You will be involved in System level performance and memory profiling/benchmarking required to support high performance and efficient AI SW stack on SoCs supporting Edge-AI use cases using Qualcomm's AI SW SDK and associated components/toolchains

* 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 toolchains

* Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

* Master's degree in Computer Science, Computer Engineering, or Electrical Engineering.

* 1+ years of experience building embedded software applications.

* Proficiency in software tools development using C/C++/Python, compiler toolchains (LLVM, GNU) and build systems (Make/CMake)

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

* Experience with development in different OS/platforms like Android, Linux, Windows

* Knowledge of low-level interactions between operating systems (e.g., Linux, Android, Windows, QNX, etc.) 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.

* Excellent communication skills (verbal, presentation, and writing).