Senior R&D Engineer, XR AI Software and Systems

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General Summary:

Qualcomm’s XR AI team in Bangalore is looking for developers at various experience levels for developing AI tools for tuning GEN AI and Multi Modal models for its XR and Wearables product line. The team aims to develop industry leading AI software solutions and tools Wearable and Connected Intelligent Edge use cases that spans across AI frameworks, runtimes and deployment scenarios to provide best-in-class AI software offerings. The team focusses on efficient AI inferencing by research and development of graph optimization methods, advanced quantization and compression techniques, algorithms that can make the best tradeoffs between performance, accuracy, latency and power. As part of Qualcomm XR AI team, you will develop leading-edge products and solutions hybrid AI applications. This covers a broad range of technical tasks, starting from industry leading and customer specific use cases, a spectrum of technologies to define AI/ML system solutions, AI models optimization (including GenAI/ LLMs/ LVMs/ LMMs) and ensure efficient and scalable deployment on Wearable devices. This is your opportunity to work on the leading-edge AI technologies and systems, current product and future roadmap designed for AI inference acceleration and to addresses unique requirements in energy efficient AI compute.

If you think you have what it takes to be part of team that develops world class AI software and your skill set matches with the below job description, we will be happy to discuss with you further.

Job Description

Required Skills and Aptitudes

• Hands-on experience in ML/AI tools development involving Deep Learning frameworks like Pytorch 1.x, 2.x, Executorch, TensorFlow, ONNX, etc…

• Strong understanding of model architectures across CV, NLP, LLMs, LVMs and Multi-Modal NWs

• Strong understanding and experience in working on inference graph optimization, Quantization, speculative and self-speculative decoding techniques, pruning and compression techniques etc.

• Understanding of performance and accuracy metrics for different class of neural NWs

• Skills in tuning for best accuracy and performance and troubleshooting accuracy and performance issues is a plus

• Hands-on Experience with Object Orientated Design, design patterns

• Strong python / C++ implementation skills (Skill level > 7/10)

• Strong in Data structures & Algorithms (Skill level > 7/10)

• Hands on knowledge of LLM fine tuning, Quantization aware training is a plus

• Knowledge of machine learning runtimes like ONNX Runtime, Pytorch and TF runtimes is a plus

• Experience in survey of competitor toolchain and survey latest trends in the industry and academia

• Develop new and innovative ideas (e.g. IDFs) for a product or feature area.

• Excellent analytical, development, and debugging skills

Desirable Skills and Aptitudes

• Experience with GPUs, machine learning accelerators and related software is a plus

• Knowledge of ML compilers like TVM, GLOW, XLA is a plus

• Hands on use of version control tools like GIT, GITHUB

Minimum Qualifications:

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR

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

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-mail [email protected] or call Qualcomm's toll-free number found here. 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).

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