Senior R&D Engineer, XR AI Software and Systems
Qualcomm IncorporatedMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Develop AI tools to optimize and tune Generative AI and Multi-Modal models for XR and Wearable devices.
Research and implement graph optimization, quantization, pruning, and compression techniques to improve AI inference performance, accuracy, latency, and power efficiency.
Lead development of scalable AI/ML system solutions and efficient AI software deployment on edge wearable hardware.
Minimum Requirements
Bachelor's degree in Engineering, Computer Science, Information Systems, or related field with 2+ years or Master's degree with 1+ year or PhD in the same domains.
Hands-on experience with deep learning frameworks such as PyTorch (1.x, 2.x), TensorFlow, ONNX, Executorch.
Strong Python and C++ programming skills (above intermediate level) and solid grasp of data structures and algorithms.
Work Experience Required: 1+ year of Systems Engineering or related experience (varies with degree level).
Ideal Candidate Profile
Experience focused on AI inference optimization for wearable or edge devices integrating multi-modal neural networks including CV, NLP, LLMs, and LVMs.
Strong practical knowledge in graph optimization, quantization aware training, and AI runtime toolchains like ONNX Runtime, PyTorch, and TensorFlow.
Technical depth in object-oriented design and software development for AI systems involving debugging and tuning for performance and accuracy.