Source description
About the role
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.
More at ByteDance
Related open roles
Student Researcher (Vision Foundation Model - Seed) - 2027 Start (BS/MS)
San Francisco Bay Area
Structured Data Fusion Large Model Researcher-Risk Control-Soaring Star Talent Program
Singapore
Research Scientist, Vision Foundation Model
San Francisco Bay Area
Senior Research Scientist - DPU & AI Infra
Seattle
Research Scientist, Generative AI Graduate (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Francisco Bay Area
Research Scientist - AI Compute & DPU - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Francisco Bay Area