Qualcomm Machine Learning Software Engineer 

China, Shanghai 

326692550

Job Area:

Engineering Group, Engineering Group > Software Engineering

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 6+ years of Software Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

• 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

You will work with ML frameworks like PyTorch and TensorFlow, extend Qualcomm AI software platform to support the latest and greatest ML models, including Gen AI models, emerging from the research community, and optimize for next generation hardware acceleration cores.

Skills/Experience

• At least 10 years of software experience within the wireless, telecommunications or semiconductor industry.

• At least 3 years of experience as technical lead or software architect

• Good C/C++ skills and embedded programming skills.

• Expertise in at least one of the following areas:

• DSP software development and algorithm implementation.

• OpenCL programming and debugging.

• Performance profiling and optimization for parallel computing.

• Image processing, computer vision, and object/face detection specially.

• Enthusiasm in machine learning technology. Hand-on experience in design/implementation of deep learning networks via modern frameworks, including TensorFlow, Caffe, etc.

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

• Excellent analytical, problem solving and Communication skills and willingness to work with customers.

Education Requirements

Required: Bachelor, Computer Engineering and/or Computer Science and/or Electrical Engineering

Preferred: Master or PhD, Computer Engineering and/or Computer Science and/or Electrical Engineering

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.