Engineer/Senior Engineer/Lead Engineer - AI/ML Tools and Performance Tuning

Key Skills

Aartificial intelligence, C++, Computer Vision (CV), Effective communication skills, GPUs, KPIs, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

As a member of the team responsible for the AI application developer experience on Snapdragon compute platform, you will have opportunity to represent the portability and optimization SW tools requirements of Windows on Snapdragon application developers for multiple AI use-cases and ensure the Snapdragon AI platform tools deliver the advertised industry leading AI performance and power on Windows on Snapdragon through automated app development workflows. You will also work 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.

Ideal candidate has experience in using AI/ML tools/workflow preferably on Windows on CPU, GPU, NPU, iterative log analysis and performance tuning of one or more of Computer Vision, Audio, LVM, LLM applications.

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:

• Solid 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 performance optimization of AI application on Windows using optimization tools/libraries/primitives on GPU, NPU a plus
• 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.
• 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.
• 3+ years’ experience in AI system deployment/optimization
• Bachelors/Masters in Computer Science or Electrical Engineering

Minimum Qualifications:

• 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.

OR

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.

OR

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

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport 

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.