任职要求：
3年工作经验以上，或者优秀的应届毕业生
熟悉Pytorch/Tensorflow, 熟练掌握C++/Python
加分项：熟悉大模型的训练或推断，模型量化以及部署
团队背景：
高通中国研究院AI Research团队，地处北京东城区，是高通AI Research在中国的分部，专注于大模型的端侧优化及部署。欢迎校友们投递简历！
简历请发至 ljiuyuan@qti.qualcomm.com
General Summary
Qualcomm AI Research is looking for world-class AI software engineers for enabling generative AI on device. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (
https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won the major LVM/LLM competitions, such as the world first on device text to image generation, 7B language model on device etc. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of intelligent devices, such as smartphones, autonomous vehicles, robotics, and IOT devices.
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems
Responsibility:
- Development of end-2-end embedded AI software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource
- Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency
- Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor
- Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases
Preferred Skills and Experience:
- Related field at least 3 years of work experience.
- Knowledge on deep learning and popular frameworks PyTorch or Tensorflow is an asset
- Excellent programming capability with Python and C/C++
- Strong software design, development, and debugging skills
- Knowledge in Android programming is plus
- Optimization of algebraic operations in algorithms for HW cores is is plus
- Knowledge in neural network model quantization is a big plus
- Experience on Qualcomm QNN SDK is a big plus
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