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
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
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.
4+ years’ experience in application development involving High Performance Computing with 2+ years in AI application development on Windows
Bachelors/Masters in Computer Science or Electrical Engineering
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Pay range and Other Compensation & Benefits
$174,000.00 - $261,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
