<GPU>GPU hardware design engineer

-Design and implement key GPU hardware blocks, including microarchitecture design, RTL implementation, integration, and optimization.
-Translate GPU architecture and specifications into efficient hardware implementations with a strong focus on Performance, Power, and Area (PPA).
-Analyze GPU workload behavior, hardware utilization, and performance bottlenecks, and drive microarchitecture improvements.
-Partner with GPU Architects and Performance Modeling teams to explore architecture trade-offs and validate new ideas through modeling and RTL implementation.
-Work closely with the Design Verification team to develop verification strategies, debug complex functional issues, and improve overall design quality.
-Collaborate with the Compiler team to understand shader/compiler behavior and explore opportunities for hardware/compiler co-optimization.
-Work with the Driver team on HW/SW interface definition, system integration, performance analysis, and system-level debugging.

#LI-LL1

-Master's degree or above in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related field.
-Experience in Digital IC, ASIC, SoC, or related hardware development.
-Strong knowledge of Verilog/SystemVerilog and RTL design.
-Solid fundamentals in digital design, including pipeline design, FSM, memory/cache interfaces, clock/reset design, CDC, and SoC interconnect.
-Familiarity with IC design flows, including simulation, lint, CDC, synthesis, and timing analysis.
-Strong analytical and debugging skills, with the ability and curiosity to identify the architecture or microarchitecture root causes behind complex problems.
-Strong communication and collaboration skills across Architecture, DV, Modeling, Compiler, and Driver teams.
Preferred:
-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.