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Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
Very strong in C/C++/Python programming and algorithm development.
Experience with at least one machine learning framework like ONNX, TensorFlow, Keras, PyTorch, etc. is a plus.
Experience with embedded systems development or equivalent.
Understanding of software development and debugging in embedded environments. Excellent communication skills (verbal, presentation, written).
Responsibilities:
Education requirements:
Bachelor's/Master's in Computer Science, Computer Engineering, or Electrical Engineering
Preferred Qualifications
Familiarity with neural network operators and model formats including PyTorch, ONNX, and Tensorflow.
Experience with machine learning accelerators or GPU development, optimizing algorithms for hardware acceleration cores using OpenCL, or ML specific cores Experience with ML application development
Knowledge in mathematical operations: linear algebra, fast math libraries
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
• 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of any combination of academic and/or work experience with debugging techniques.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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