R&D Engineer, XR AI Software and Systems

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Skills you'll use

What you'll do

• 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

Who can apply

• 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

About Qualcomm

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