R&D Engineer, XR AI Software and Systems

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 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 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. 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.