Nuvia
Qualcomm China
General Summary:
Detailed Project Description
As a Machine Learning Engineer in Qualcomm’s MLG team, you will focus on embedded AI technology development and ensure efficient execution of AI accelerators on Qualcomm platforms. Your responsibilities include model optimization and deployment, software module design and debugging, performance analysis, and power optimization. You will work closely with hardware, system, and application teams to drive intelligent and high-performance experiences for next-generation devices.
Skills / Experience Required
1. Proficient in C/C++ programming languages; experience with Python is a plus.
2. Skilled in Linux/Android development environments and toolchains.
3. Understanding of embedded hardware computing architecture with system-level analysis capability.
4. Hands-on experience with TensorFlow or ONNX frameworks is preferred.
5. In-depth understanding of machine learning and deep learning principles (including CNN, RNN, Transformer) and ability to apply them in real projects is highly desirable.
6. Proven experience in project-level code refactoring to improve system architecture and code quality is a strong advantage.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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