AI Vision Research Engineer - PICO - San Jose

About Team: The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co-optimization. Responsibilities: - Innovate and develop a power-efficient, low-latency, highly-intelligent machine perception vision system in a VR/AR product. - Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors. - Map the ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator. - Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement. - Perform quantitative evaluations through the use of system modeling, FPGA prototyping for validating ideas and architecture options.

Minimum Qualification(s): - PhD in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline. - 3 + years of experience in research experience in the fields of ML algorithm or AI accelerator design - 3+ years for experience with programming tools and languages such as C/C++, MATLAB, Python. Preferred Qualification(s): - Familiar with appropriate ML frameworks. - Good communication skills, open minded and enthusiastic about new technologies