Job Description
Qualcomm hiring R&D Associate Engineer, XR AI Software and Systems
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.
Required Skills and Aptitudes
- 0 – 1 year of 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
