System Integration & Test Engineer, Machine Learning Qualcomm
San Diego, CA

Job Description

Job Detail

Job Id E1967992 Job Title System Integration & Test Engineer, Machine Learning Post Date 04/26/2019 Company - Division Qualcomm Technologies, Inc. - Corporate Research & Development

Job Area Engineering - Systems

Location California - San Diego

Job Overview We are looking for talented test engineers with experience in machine learning to enable embedded deep learning. We solve challenging problems to improve speed, accuracy, power-consumption and latency of deep networks. Optimize state-of-the-art networks to run on mobile platforms in real-time. Come join an amazing team of engineers building best-in-class solutions for computer vision, speech processing and video processing. 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 development process and drive quality improvements. Your responsibility will be to plan, measure and provide feedback on the quality Machine learning tools developed by the team. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage. Strong communication and interpersonal skills are required and must be able to work well with others in a technical environment. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

2+ years Systems Test Engineering or related work experience." id="hdnMinimumQualifications" />Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

2+ years Systems Test Engineering or related work experience. Preferred Qualifications Experience in deep neural networks (CNN, DBN, RNN, DCN). Experience implementing deep-learning algorithms in a high-level languages/packages (e.g. C++, Java, MATLAB, or Python) Deep learning frameworks Caffe, TensorFlow, pytorch. Experience with CNNs, RNN/LSTM neural networks. Strong communication skills " id="hdnPreferredQualifications" />Good at software development with excellent analytical, development, and debugging skills. Coding Skills: Python, C/C++ Strong understanding of Machine Learning fundamentals Industrial experience in machine learning, or multimedia areas, or Robotics, or AI Experience in deep neural networks (CNN, DBN, RNN, DCN). Experience implementing deep-learning algorithms in a high-level languages/packages (e.g. C++, Java, MATLAB, or Python) Deep learning frameworks Caffe, TensorFlow, pytorch. Experience with CNNs, RNN/LSTM neural networks. Strong communication skills Education Requirements Preferred: Master's, Computer Engineering and/or Electrical Engineering" id="hdnEducationalRequirements" />Required: Bachelor's, Computer Engineering and/or Electrical Engineering

Preferred: Master's, Computer Engineering and/or Electrical Engineering Keywords