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