Sr Engineer, Machine Learning (On-device Learning SW)

- Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency. - Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors. - Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field. - At least 3 years of work experience in a relevant field. - Excellent programming capabilities with C/C++ and Python. - Knowledge of deep learning and ML frameworks ( i.e. PyTorch ). - Strong software design, development, and debugging skills. - Optimization of algebraic operations in algorithms for HW cores is a plus. - Knowledge in neural network model training is a big plus. - Knowledge in neural network model quantization is a big plus.