2 days ago
Hanoi, Vietnam or Ho Chi Minh City, VietnamEntry Level
Responsibilities
- Extend machine learning training or runtime frameworks and model-efficiency software tools with new features and optimizations.
- Assist with modeling, architecture, and development of machine learning hardware and co-designed software for inference or training.
- Develop optimized machine learning kernels, compiler tools, and model-efficiency tools that enable AI models to use hardware features.
- Apply machine learning techniques to products and AI solutions and help customers use them.
- Develop, adapt, or prototype machine learning algorithms, models, and frameworks aligned with the product roadmap.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Master’s degree in a related field is preferred.
- Preferred experience includes 1+ year with machine learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or Keras.
- Preferred experience includes 1+ year in embedded system development and optimization for an ML domain such as NLP or multimedia.
- Preferred experience includes 1+ year with programming languages suitable for machine learning, including Python, R, C, or C++.
- Preferred experience includes 1+ year using statistics and probability and 1+ year working in a large matrixed organization.
- Preferred experience includes 6+ months with low-level interactions between operating systems and hardware.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.