AI Model System Software Performance Optimization Lead Engineer, Senior

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software Engineering

General Summary:

We are seeking candidates with strong optimized software development knowledge and hands-on experience AI. You will be working in a team responsible for comprehensiveness and enhancement of Performance Optimization tools of state-of-the-art machine learning solutions on Snapdragon platform.
You will be working on technical initiatives to continuously benchmark the AI optimization workflow that will serve as relevant, reference case studies for application developers for Windows on Snapdragon. 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, customer engineers, and application developers.

Responsibilities:

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

• Continuously measure KPIs for AI development tools on Windows on Snapdragon in terms of level of automation, ease of use, and resulting performance and accuracy preservation

• Competitive benchmarking of tools and workflow on competitive platforms on state-of-the-art models

• Enhancement of AI performance debug, analysis, and optimization tools for AI application development for Windows on Snapdragon so that Application Developers have nil to very low barrier to entry for Windows on Snapdragon

• Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at best-in-class performant tools, 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:

• 4-7 years' experience in AI application development

• Experience in building LLM applications using AI/ML tools/workflow preferably on Windows on CPU, GPU, NPU

• Ability to code in C, C++, and Python

• Experience with performance optimization of AI on GPU, NPU, CPU a plus

• Strong communication skills (written and verbal)

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

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-maildisability-accomodations@qualcomm.comor call Qualcomm's toll-free number foundhere. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.

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