QCT Applications Engineer
San Diego, CA, United States
Qualcomm QCT Customer Engineering is looking for a Software Engineer with a strong Machine Learning Engineering background to support our exciting new AI products. The AI product line brings superior power and performance capabilities to meet the growing inference needs on Edge and other applications. In this role you will work with Qualcomm's partners to develop and deploy best in class ML applications based on popular frameworks such as PyTorch, TensorFlow, ONNX, and Caffe2 that are optimized for Qualcomm's AI hardware accelerators. The work will include model assessment of throughput, latency and accuracy, model profiling and optimization, end-to-end application pipeline development, integration with customer frameworks and libraries and responsibility for customer documentation, training and demos. You will work with a highly collaborative and focused global team with a track record of successfully launching market-leading Qualcomm technologies and products.
Preferred Qualifications Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX, Caffe2
Experience profiling and optimizing software
Experience with C++, Python
Experience developing software solutions that run in Linux environments including containers and virtual machines
Willingness to work in a structured software development environment delivering high-quality implementations (code & test)
Experience with Source Code and Configuration management tools, git knowledge is required
Good English communication (written and verbal) and positive interpersonal skills
Work Experiences:
2+ years Software Applications Engineering, Software Development experience, or related work experience.
2+ years experience with Programming Language such as C, C++, Java, Python, etc.
2+ years experience with debugging techniques.
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