- Singapore
工作地点
职位描述
岗位职责
Responsibilities
Responsibilities
· Define and evaluate architectural features for next-generation AI inference chips.
· Analyze Transformer and LLM workloads to identify performance, power, area, memory, and latency bottlenecks.
· Explore AI accelerator architectures and microarchitectures, including compute arrays, memory hierarchy, NoC, DMA, scheduling, and dataflow.
· Work on hardware-software co-design for LLM inference, including operator mapping, tiling, memory planning, and compiler-guided optimization.
· Collaborate with algorithm, compiler, RTL, verification, and software teams to deliver implementable architecture solutions.
· Propose novel architecture ideas and contribute to patents and technical documentation.
Qualifications
· Bachelor’s degree or above in Computer Engineering, Computer Science, Electrical Engineering, or related fields.
· Strong knowledge of computer architecture, AI accelerators, memory hierarchy, interconnect, and performance analysis.
· Familiarity with Transformer and LLM architecture, including attention, FFN, quantization, KV cache, prefill, and decoding.
· Experience with compiler, MLIR/LLVM/TVM/XLA/Triton, or kernel optimization is preferred.
· Familiarity with Verilog, SystemVerilog, VHDL, or Chisel is a plus.
· Strong analytical, communication, collaboration, and learning skills.
· Fresh graduates with strong fundamentals and relevant project experience are encouraged to apply.
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