AI Chip Architecture Engineer – Hardware/Software Co-Design

Company OverviewEstablished in 2013, (Nasdaq: CAN) leads in high-performance ASIC chips, focusing on blockchain and AI. As the world’s first blockchain stock company, Canaan drives innovation in ASIC computing chips, AI chips, and devices.Job SummaryDefine and evaluate architectures for next-generation AI inference chips, focusing on Transformer and LLM workloads. Collaborate across teams to deliver optimized hardware-software co-design solutions and contribute innovative ideas to advance AI accelerator technology.ResponsibilitiesDefine and evaluate architectural features for next-generation AI inference chips to optimize performance and efficiency.Analyze Transformer and LLM workloads to identify bottlenecks in performance, power, area, memory, and latency.Explore and design AI accelerator architectures and microarchitectures, including compute arrays, memory hierarchy, NoC, DMA, scheduling, and dataflow.Develop hardware-software co-design strategies 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 architectural solutions.Propose novel architecture ideas and contribute to patents and technical documentation.Preferred competencies and qualificationsBachelor’s degree or above in Electrical Engineering, Computer Engineering, Computer Science, or related fields.Strong knowledge of computer architecture, AI accelerators, memory hierarchy, interconnect, and performance analysis.Familiarity with Transformer and LLM architecture components such as attention, FFN, quantization, KV cache, prefill, and decoding.Experience with compiler frameworks or kernel optimization tools like MLIR, LLVM, TVM, XLA, or Triton.Familiarity with hardware description languages such as Verilog, SystemVerilog, VHDL, or Chisel.Strong analytical, communication, collaboration, and learning skills.Fresh graduates with strong fundamentals and relevant project experience are encouraged to apply.