China Job Openings
Qualcomm
Machine Learning/AI Software Intern
November 18, 2024
Company:
Qualcomm ChinaJob Area:
Interns Group, Interns Group > Interim Engineering Intern - SWGeneral Summary:
Role Overview: As an Agentic AI software Intern, you will join our AI team to contribute to the software design and implementation of model deployment in edge device. You will work on projects that involve model compression, quantization, conversion and on-device deployment . This is an excellent opportunity to gain hands-on experience in a rapidly evolving field and make a meaningful impact.
Key Responsibilities
- 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
- Conduct experiments to reproduce and optimize accuracies and performance of models.
- Related papers reading and summarization and presentation.
- Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, EE, or a related field.
- Experience in large language model (LLM), vision-language model (VLM), and large vision model (LVM), including diffusers, multi-modality, CNNs, RNN/LSTMs, Transformer, and others.
- Experience in Model quantization and compression, deployment in smartphones or other edge devices.
- Strong mathematical skills - good foundations of linear algebra, matrix, differential algebra, statistics.
- Have strong skill in C++ and Python programming
- Experience in machine learning/deep learning algorithms and architectures, including CNNs, RNN/LSTMs, Transformer, LVM, LLM
- Hands-on experience with ML frameworks, such as Tensor Flow, Py Torch and Onnx Runtime
- Have knowledge in on-device AI models deployment is a plus
- Have knowledge in llama.cpp or Execu Torch is a plus
- Have knowledge in Qualcomm SNPE/QNN SDK is a plus
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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