Embedded Software Engineer

*Company:*Qualcomm Canada ULC*Job Area:*Engineering Group, Engineering Group > Machine Learning Engineering*General Summary:*As a member of Low Power AI solution team, you will play a critical role at deploying AI models on Qualcomm's low power AI accelerator. The position focuses on mapping high level machine learning operators to low level hardware instructions, involving various optimization techniques: graph transformation, scheduling, memory planning, individual operator implementation, quantization, etc. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture.*Skills / Experience Required:*Solid hands-on skills and experience on performance optimization.Proficient programming skills in C/C++Machine learning knowledge is a plus..Experience with Linux/Android development environment and tools.Familiar with embedded/computer hardware architecture.*Preferred Qualifications:*Master's degree in Computer Science, Engineering, Information Systems, or related field.2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).2+ years of experience with C/C++, ideally at the embedded level2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).2+ years experience working in a large matrixed organization.1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).*Principal Duties And Responsibilities:*Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.Conducts complex experiments to train and evaluate machine learning models and/or software independently*Minimum Qualifications:*Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.*Preferred Qualifications:*Master's degree in Computer Science, Engineering, Information Systems, or related field.1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).1+ year of experience working in a large matrixed organization.6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.*Principal Duties And Responsibilities:*Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.*Level Of Responsibility:*Works under supervision.Decision-making affects direct area of work and/or work group.Requires verbal and written communication skills to convey basic, routine factual information.Tasks consist of a limited number of steps and can be referenced using directions or manuals.Applicants: Qualcomm is an equal opportunity employer. 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