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Open nowPosted 1150 days ago

AI编译器研发（自动驾驶/机器人）

xiaopeng/index1,586 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowAI编译器研发（自动驾驶/机器人）xiaopeng/index · Shenzhen, Guangdong, Chinese Mainland

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. xiaopeng/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 1150 days ago

xiaopeng/index median: 1 days open

The posting

1、编译器架构设计：设计并实现AI编译器中间表示（IR），支持模型图优化、算子融合、循环优化等；构建从模型解析到硬件指令生成的完整编译流水线，支持PyTorch/Onnx等主流框架。 2、硬件后端优化：针对自研芯片，开发高效算子库与代码生成策略：优化内存访问、指令调度，提升端到端推理性能。 3、性能调优与验证：通过Profiling工具定位性能瓶颈，优化算子，并设计自动调优流程；与硬件团队合作，验证算子在目标设备上的性能与正确性。 4、业务场景落地：结合自动驾驶感知、决策规划，或机器人SLAM、运动控制等场景，优化编译器对实时性、低功耗的需求；参与模型量化与编译器的协同设计。 5、技术探索与创新：研究动态形状处理、稀疏计算等前沿编译技术；探索LLVM/GCC等传统编译技术与MLIR的集成方案。

1、必备技能： （1）精通C++/Python，具备大型系统开发经验。 （2）深入理解MLIR框架，熟悉其Dialect设计、Pass优化机制。 （3）有NPU或GPU硬件经验，熟悉CUDA、OpenCL或NPU专用指令集。 （4）熟悉至少一种深度学习框架（TensorFlow/PyTorch/Onnx）。 2、加分项： （1）有LLVM/GCC后端开发经验，熟悉内联优化、寄存器分配、指令调度、代码生成等。 （2）参与过开源AI编译器项目（如TVM、Apache MLIR）。 （3）了解自动驾驶感知算法（如BEV感知、多传感器融合）或机器人控制等模型。 （4）发表过编译器优化、体系结构相关论文或专利。

岗位介绍： 我们正在寻找AI编译器研发工程师，专注于AI编译器框架设计与优化。包括模型量化、图优化、codegen、算子优化及软硬件协同优化等。您将参与构建高性能、低延迟的AI编译工具链，支撑自动驾驶、机器人等业务场景。

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