Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Systems Test Engineering General Summary: We are looking for talented ML Systems engineers with significant experience in machine learning to enable embedded deep learning. We solve challenging problems to enable cutting-edge AI/ML algorithms for a variety of use-cases to the Qualcomm Ride platform. The team is responsible for improving speed, accuracy, power-consumption, and latency of deep networks running on Snapdragon Ride AI accelerators. Come join an amazing team of engineers building best-in-class solutions. You will get a chance to learn latest cutting-edge technologies in machine learning and new emerging applications. You will participate in each step of the research and development process and drive quality improvements. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ years of Systems Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: PhD in electrical/computer engg or related field preferred Good at software development with excellent analytical, development, and problem solving skills. Hands-on experience with deep learning network design and implementation Coding Skills: Python, C/C++ Strong understanding of Machine Learning fundamentals Deep learning frameworks: Caffe, TensorFlow, Pytorch. Experience with CNNs, RNN/LSTM neural networks Industrial experience in machine learning, or multimedia areas, or Robotics, or AI. Experience in neural network quantization, compression, pruning algorithms. Experience implementing deep-learning algorithms in a high-level languages/packages (e.g. C++, Java, MATLAB, or Python) Experience in deep learning kernel/compiler optimization Strong communication and interpersonal skills are required and must be able to work well with others in a technical environment. Principal Responsibilities Develop, improve, and modify machine learning networks for automotive applications. The work will involve devising hardware cognizant deep learning networks, providing feedback on the ML tools, validating the performance and accuracy of the engine through detailed analysis and test. The job also includes the drive algorithm improvement for optimizing automotive specific ML workloads and networks. Knowledge of machine learning algorithms, especially related to automotive use-cases (autonomous driving, vision and lidar processing ML algorithms) are necessary. Research experience with development of efficient ML networks is an added plus. Research and/or industry experience with network quantization and pruning is an added plus. Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: frequently transporting between offices, buildings, and campuses up to ½ mile; frequently transporting and installing equipment up to 5 lbs; performing tasks at various heights (e.g., standing or sitting); monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely. Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity. 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