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<GPU>Senior GPU Hardware Designer / GPU Digital Designer

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Description

We are looking for talented Digital IC Design Engineers to join our next-generation GPU IP development team. This position will be responsible for GPU microarchitecture design, RTL implementation, design optimization, and functional verification support, covering the development cycle from architecture definition to silicon integration.
Key responsibilities include:
Design and implement GPU hardware modules, including microarchitecture design, RTL coding, functional integration, and design optimization.
Develop hardware solutions based on GPU architecture and specifications while optimizing Performance, Power, and Area (PPA).
Perform design debugging, performance bottleneck analysis, and root cause analysis for complex hardware issues.
Work closely with the Design Verification (DV) team on verification planning, functional verification, coverage closure, and design issue debugging.
Collaborate with GPU Architects and Performance Modeling teams to evaluate architectural options, analyze

Required Qualifications
Bachelor's degree or above in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related field.
Experience in digital IC design, ASIC/SoC development, or related areas.
Strong knowledge of Verilog/SystemVerilog and RTL design.
Solid understanding of digital design fundamentals, including:
Pipeline design
Finite State Machines (FSM)
Memory/cache interfaces
Clock and reset design
Basic CDC concepts
SoC bus/interconnect concepts
Familiarity with ASIC design flows, including RTL design, simulation, lint, CDC, synthesis, and timing analysis.
Strong analytical and debugging skills, with the ability to investigate complex design issues using simulation waveforms, performance data, and system-level behavior.
Strong communication and teamwork skills, with the ability to collaborate effectively with DV, Architecture, Modeling, Compiler, and Driver teams.
Preferred Qualifications
Experience in GPU, graphics, AI accelerator, DSP, CPU, or other high-performance computing IP development.
Knowledge of GPU architectures and related concepts such as graphics pipelines, shader cores, SIMD/SIMT processing, texture processing, rasterization, cache, and memory subsystems.
Experience in performance modeling, performance analysis, or hardware/software co-design.
Familiarity with C/C++, Python, SystemVerilog/UVM, or related development and verification tools.
Experience in ASIC synthesis, STA, low-power design, or PPA optimization.
Experience in large-scale SoC integration or complex IP development.
Strong interest in GPU architecture and hardware design, with a proactive mindset and strong problem-solving skills.

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