AI Frameworks Engineer for Intel's OpenVINO team optimizing generative AI models. Spearheading innovative use cases and enhancing performance for state-of-the-art AI inference solutions.
Responsibilities
Join Intel's OpenVINO team, a critical force in accelerating AI inference from the edge to the cloud
Empower developers worldwide by optimizing deep learning models for maximum performance across diverse Intel hardware
Spearhead the development and enhancement of innovative use cases for OpenVINO GenAI
Dive deep into the architecture of generative models and the OpenVINO ecosystem
Implement new features and optimize performance to deliver state-of-the-art inference solutions
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 5+ years of experience
OR Master's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 3+ years of experience
Proven experience in Deep Learning architectures, particularly Generative AI models (e.g., Transformers, Diffusion models)
Familiarity with popular AI frameworks such as PyTorch, TensorFlow, or the Hugging Face Transformers library
Minimum of 5 years of hands-on development experience utilizing C/C++, Python
Experience with model optimization techniques (i.e., quantization, pruning)
Demonstrated understanding of multithreading concepts and practical experience in developing thread-safe code
Strategic problem-solver
Impactful communicator and cross-functional collaborator
Effective verbal and written communication skills in English (intermediate level or higher)
Knowledge of the OpenVINO Toolkit or other deep learning inference runtimes (ONNX Runtime, Lite RT, Executorch)
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