Job description

We are looking for an experienced AI System Software Engineer to deliver a comprehensive set of sample AI applications showing use of Snapdragon AI APIs, optimized libraries, and interface to other subsystem interfaces such as camera, audio, display, graphics, memory, security, and other operating system components available on Snapdragon.

As a senior member of the team responsible for the AI application developer experience on Snapdragon compute platform, you will have opportunity to provide Windows AI application developers with sample applications with interfaces and templates which will allow them to plug in their proprietary models to first test the port of their model on Windows on Snapdragon and derive valuable performance metrics which will further be used to optimize the model for performance.  You will also be responsible to work with internal application/customer engineering teams to address any queries from application developer ecosystem on use of Snapdragon AI APIs and enhance the sample applications if needed. Through the experience on developing the sample applications, you will drive improvements into the SW stack including SDK, Tools, and documentation that will directly impact the ease of use and performance realization by Windows Application Developers on Snapdragon.  You will work closely with development leads, software and hardware architects, project engineers, product managers, customer engineers, OEMs, OS partners and application developers.

Ideal candidate has extensive expertise in building end to end applications for one or more of Computer Vision, Audio, LVM, LLM use cases using AI/ML tools/workflow preferably on Windows on CPU, GPU, NPU.

Responsibilities:

• Understand trends in ML model design, and workflow through application developer engagements and latest academic research

• Develop and ensure sample application comprehensiveness for AI on Windows on Snapdragon to cover the gamut of models used, and use-cases including use of additional snapdragon optimized libraries outside of Snapdragon AI functions.

• Provide sufficient performance and accuracy diagnostics in the sample application to accurately reflect the expected behavior of 3rd party application AI models

• Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at easy-to-use sample application, and documentation that are directly leveraged by 3rd party app developers for Windows on Snapdragon

• Contribute new features and designs to the Qualcomm AI toolkit to enhance the workflow experience of Application Developers

Skills and Experience:

• Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models development and deployment a plus

• Good Understanding of complete AI Software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems

• Experience with development of end-to-end AI application on Windows using Windows ML, DirectML

• Experience in full workflow involved in training and deployment of models on servers and porting to client Windows compute platforms involving model inference deployment and performance tuning

• Proficiency in programming languages such as Python, C++

• Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders.

• Strong leadership abilities to motivate and guide development teams.

• Detail-oriented with strong problem-solving, analytical, and debugging skills

• Demonstrated ability to learn, think and adapt in a fast-changing environment

• Familiarity with software development methodologies, version control systems, and agile project management practices.

• 12+ years’ experience in application development involving High Performance Computing with 5+ years in AI application development on Windows

• Bachelors/Masters in Computer Science or Electrical Engineering

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. 
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.