2 months ago
Hsinchu, Taiwan or Taipei, TaiwanSenior
Responsibilities
- Research and develop efficient deep learning architectures and models for AI-enabled camera and extended-reality applications.
- Develop solutions for face analytics, facial expression recognition, face synthesis, and 3D face reconstruction from 2D images.
- Design and implement robust, high-performance computer vision and machine learning system software.
- Integrate machine learning algorithms into camera systems and drive ideas from design through commercialization.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, Engineering, Information Systems, or a closely related field.
- At least 3 years of professional deep learning software development experience and at least 5 years developing practical deep learning algorithms.
- Strong background in computer vision or computer graphics, machine learning and deep learning fundamentals, mathematics, and statistics.
- Proficiency in Python and C/C++, with preferred expertise in C++ and object-oriented programming.
- Academic publications in computer vision research at leading conferences or journals such as PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, or ICML.
- Preferred experience with DiT, U-Nets, ResNets, transformers, diffusion models, high-resolution face editing, face analytics, VLMs, data synthesis, model pruning, compression, quantization, and edge-device deployment.
- Preferred experience designing computer vision algorithms, integrating machine learning into camera systems, and commercializing research-driven technologies.
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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.