GPU Digital Frontend Design Engineer

Job Responsibilities • Responsible for requirement analysis, GPU microarchitecture definition, specification drafting and module interface design for high-performance GPU/AI accelerator chips. • Conduct RTL design and PPA optimization for GPU key modules including SIMD Core, Tensor Core, scheduling system, on-chip memory and interconnect network. • Develop synthesizable Verilog/SystemVerilog code and optimize timing, area and power consumption. • Collaborate with verification team on UVM verification plan, environment setup and debug. • Work with algorithm and software teams for operator performance analysis and architecture optimization. • Support logic synthesis, STA, low-power design, physical design co-optimization, FPGA prototyping and post-silicon debug. Job Requirements • Master’s degree or above in Microelectronics, Electronic Engineering, Computer Science or related fields. • 2+ years digital IC frontend design experience; GPU / AI accelerator chip project experience is highly preferred. • Proficient in Verilog/System Verilog; familiar with Python / Tcl / Perl scripting. • Solid understanding of GPU/SoC architecture and low-power design methodology. • Hands-on experience with IC frontend flow and EDA tools: DC, PT, Verdi, Spyglass, LEC.