Machine Learning Engineer Full-time

Company:

Qualcomm China

Job Area:
Engineering Group, Engineering Group > Software Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

In this position you will be responsible for developing model tools and delivering advanced machine learning solutions on top of Qualcomm’s hardware and software infrastructure to key customers. You will work with ML frameworks like PyTorch and TensorFlow, extend Qualcomm AI software platform and AI Model Efficiency Toolkit to support the latest and greatest ML models, including Gen AI models, analyzing accuracy loss, developing quantization techniques and finetuning model to improve on-target accuracy.

• Good Python/C++ skills with strong fundamentals in programming.
• Solid understanding of machine learning technology. Hand-on experience in design/implementation of deep learning networks via PyTorch or TensorFlow.
• Expertise in at least one of the following areas:
  • LLM or Diffusion model training, finetuning.
  • Pytorch model quantization or compression toolkit development.
  • CUDA programming and debugging.
  • Deploying model via SNPE/QNN or other machine learning frameworks.
  • DSP software development and algorithm implementation.

• Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.