General Summary:
Job Overview
Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint.
Minimum Qualifications
Preferred Qualifications
Strong exposure to software testing methodologies and reporting. Experience with CI tools like Jenkins and Data visualization tools like power BI ,Tableau Development experience in Python & C++
Work Experience
1 to 6 years of relevant work experience in software dev/test development
Educational Requirements
Master’s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering
Minimum Qualifications:
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