General Summary
Qualcomm AI Research is looking for world-class algorithms engineers in general domain machine learning, especially generative AI, LLM, LVM, VLM, AI agent. 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 talented team working on on device generative AI optimization. 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 smartphones, PC, autonomous vehicles, robotics, and IOT devices.

Responsibility

• Development of end-2-end AI tools, models or software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource
• Design and develop end-to-end test strategies and frameworks for complex software systems
• Create and maintain automated test suites using modern testing tools and frameworks
• Development of debugging/profiling tools and Qualcomm SDK to rapid deployment quantized models on device
• Participate in code reviews and contribute to improving test coverage
• Collaborate with cross-functional teams to understand requirements and design test approaches
• Analyze test results and provide detailed feedback to development team

Preferred Skills and Experience

• Related field at least 2 years of relevant work experience.
• Working experience in generative AI models (LLM and LVM)
• Excellent programming capability with Python and C/C++
• Knowledge on deep learning and popular frameworks PyTorch or Tensorflow
• Knowledge in transformer and Huggingface library
• Experience on Qualcomm QNN SDK is a big plus
• Strong software design, development, and debugging skills
• Knowledge in Android programming is plus
• Knowledge in neural network model quantization is a plus

Minimum Qualifications

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