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.