Qualcomm AI Research - Deep Learning / Machine Learning / Computer Vision Eng. Qualcomm
San Diego, CA

Job Description

Job Detail

Our key AI research areas:

Power efficiency: Model design, compression, quantization, activation, algorithms, and efficient hardware.

Personalization: Continuous learning, model adaptation, and privacy-preserved distributed learning.

Efficient learning: Robust learning through minimal data, unsupervised learning, and on-device learning.

System architecture: Multi-task and multi-modal learning, sensor fusion, and cloud-edge systems.

Desired Qualifications:

Experience in deep networks (CNN, DBN, RNN, LSTM, DCN) or reinforcement learning (RL)

Experience implementing DL/RL algorithms in high-level languages/packages (e.g. Python, C++, Java, MATLAB)

Experience with classification and regression algorithms (e.g. SVM, MLP)

Strong understanding of machine learning algorithms & principles, and numerical optimization

Experience using machine learning toolboxes (e.g. Caffe, TensorFlow, or PyTorch)

Experience implementing machine learning algorithms on embedded platforms

Track record of research excellence and high quality publications

Knowledge of application areas, such as computer vision or speech analysis

Roles Available:

Deep Learning Research Engineer

Software Research: Deep Learning Tools and Integration Engineer

Machine Learning Software Engineer

System Integration & Test Engineer, Machine Learning

Autonomous Driving Systems/ Software Engineer

AI/ML/CV Research and Development

Computer Vision Engineer

Extended Reality Engineer

Imagining Technology Engineer

Locations available: USA/California - San Diego, Ireland - Cork, Netherlands - Amsterdam, South Korea - Seoul, China - Beijing, Taiwan" /> Job Id T1971860 Job Title Qualcomm AI Research - Deep Learning / Machine Learning / Computer Vision Eng. Company Qualcomm Technologies, Inc.

Job Area Engineering - Software

Location California - San Diego

Overview Education Requirements Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering" id="hdnEducationalRequirements" />Required: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering

Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords