Sr Staff Software Engineer - Video Analytics

Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. The Sr Staff Software Engineer - Video Analytics will leverage advanced machine learning knowledge to develop and optimize machine learning solutions and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.

Responsibilities:

• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations
• Models, architects, and develops highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions
• Develops critical 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 hardware teams for joint design and development
• Leads 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 novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and system-level features
• Oversees and provides technical expertise to others conducting experiments to train and evaluate machine learning solutions

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field
• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras)
• 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware
• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media)
• 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
• 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule)
• 3+ years experience working in a large matrixed organization
• 2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above)
• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports)
• Developed 1+ novel Machine Learning architecture(s)