Qualcomm is looking to create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs, and to enhance mobile, edge, auto, and IOT products through machine learning hardware and software.
Requirements
- 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).
- Developed 1+ novel Machine Learning architecture(s).
Responsibilities
- Leverages expert Machine Learning knowledge to influence and oversee the extending of training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Determines and oversees guidelines for modeling, architecture, and developing machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Directs and oversees 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.
- Ensures the timely development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Executes on product proposals or roadmaps of various levels of complexity; defines strategy and direction for teams.
- Provides updates regarding experiments of machine learning solutions to key stakeholders across the business.
Other
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 10+ 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 9+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- 4+ years of experience working in a large matrixed organization.
- 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Vice President and above).
