Taiwan - Hsinchu

Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. Do you want to work in the biggest emerging field of technology since the birth of the Internet? Machine learning is going to change EVERYTHING. We are rapidly expanding our AI Enablement Center in Taiwan. This lab will join a large number of other AI R&D labs around the world. We invite you to join our new lab to apply your skills to expand Qualcomms already impressive AI portfolio, with a special focus on IoT applications and devices. We combine high performance software with cutting edge hardware to run deep neural nets fast, and we do it with the lowest power on our incredible range of Snapdragon processors. In this position you will be responsible for enabling advanced machine learning usage scenarios on top of Qualcomms hardware and software infrastructure. You will work with neural network frameworks like Caffe and TensorFlow, extend our neural net engine to support the latest and greatest DNNs emerging from the research community, and optimize for next generation hardware acceleration cores. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage. Live and breathe software development with excellent analytical, development, and debugging skills and partner with industry-leading organizations for delivering next generation of machine learning technology into the hands of millions.

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
2+ years Software Engineering or related work experience.
Good experience with Programming Language such as C, C++, Java, Python, PyTorch etc.

2-5 years of software experience within the wireless, telecommunications or semiconductor industry. IoT experience or devices (home speaker, security camera, etc) experience. Good C/C++ skills and embedded programming skills. Experience in Linux/Android software development in both user space and kernel space. System level issues debugging with JTAG or gdb tool. Expertise in at least one of the following areas: o DSP software development and algorithm implementation. o OpenCL programming and debugging. o Performance profiling and optimization for parallel computing. o 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