Qualcomm Deep Learning Model Efficiency Research Engineer 

South Korea, Seoul 

458482752

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Required Skills:

• Bachelor's degree in Engineering, Computer Science, or related field.

• Strong understanding of Machine Learning fundamentals, strong programming skills with ML frameworks

• Excellent analytical, development, and debugging skills.

• Excellent interpersonal, written and oral communications skills

Preferred Skills:

• MS or PhD in Computer Science/Engineering with 1+ years of professional experience or equivalent experience.

• 2+ years of proven experience in algorithm design and software development for machine learning; proficiency in designing, implementing and training DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow).

• Strong background in at least one of the following fields: Machine learning theory / optimization methods; Model compression / quantization / optimization for embedded devices; Neural Architecture Search / kernel optimization; Computer vision; Audio and speech / NLP

• Experience with improving efficiency of AI algorithms for deployment, including familiarity with open source solutions such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit ( https://github.com/quic/aimet )

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.