Qualcomm Deep Learning SW Engineer– Qualcomm Research 

South Korea, Seoul 

617368534

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related fields.

• 2+ years of experience with Machine Learning frameworks (e.g., PyTorch, TensorFlow, Keras).

• 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• 2+ years of experience with one or more programming languages suitable for machine learning (e.g., Python, R, C, C++)

• 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• 1+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 1+ years of experience with NVIDIA software library such as CUDA

• 2+ years of experience working in a large matrixed organization.

• 1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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.