Li Auto

基础编译器开发专家

Li Auto  •  Onsite  •  4 days ago
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Job Description

基础编译器开发专家
杭州、上海
全职
互联网 / 电子 / 网游
职位描述
职位描述
1、基于 LLVM 构建自研芯片的编译软件栈,不限于 AI 模型的编程语言,AI 高性能编译器(前端、中端、后端)、运行时(固件)、高性能库等;
2、基于自研芯片的软件栈构建自动化模型编译、部署、发布平台;不限于异构编译、异构部署和推理;
3、建设编译工具链发布平台和开发者生态,为业务团队提供编译工具和编译服务。
职位职责:
1、和硬件工程师协作完成自研芯片的ISA定义,定义自研芯片编译器的指令集;
2. 基于自定义指令集开发llvm 自研芯片后端,针对实际的负载对后端的指令生成增加优化 pass;
3. 基于 AI 算法的需求定义 AI 模型的编程语言,编程界面,编程范式;
4. 基于 AI pipeline,构建高性能编译器(打通编程语言和自研芯片)、运行时(固件)、高性能库,构建AI编译工具链产品化底座;
5、建设编译工具链发布平台和开发者生态,为业务团队提供编译工具和编译服务。
职位要求
1、本科及以上学历,计算机、软件相关专业,3年及以上工作经验;
2、熟悉编译原理、AI计算框架以及相关编译优化技术、AI加速;
3、熟悉C/C++/Python,熟悉C++/Python底层实现原理。
4.
- 熟悉arm,riscv,x86,gpu等常见体系结构,及其关键特性在编译器后端的设计和实现(任一)
- 熟悉编译前端,中端,后端关键设计和实现(任一)
- 熟悉编译工具链软件栈,包括库,动态库编译,执行流程(clang,gcc等)及其关键设计和实现(预处理,ast,编译,汇编,链接,加载)(任一)
加分项:
1、熟悉arm,riscv,x86,gpu等常见体系结构;了解这些关键特性在编译器后端的设计和实现,并参与相关社区者优先;
2、熟悉编译工具链软件栈关键设计和实现,包括库,动态库链接,编译器关键设计和实现 (预处理,ast,编译,汇编,链接,加载), 有RISC-V/ARM/DSP/GPU编译器开发经验者优先;
3、有HPC/AI编译器以及高性能库开发经验者优先;
4、有编程语言、编译器、虚拟机开发经验,或者ISA和微架构协同设计经验者优化。
职位要求
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Li Auto

About Li Auto

Founded on July. 1, 2015, Li Auto's brand mission is to "Be Proactive, Change the World".

We are dedicated to providing families with safer, more comfortable, and more convenient smart EVs through breakthrough innovations in products, technologies, and business models. By Oct. 18, 2024, Li Auto achieved the milestone of one million vehicle deliveries in just 58 months, setting a new record for the fastest one million deliveries in China's luxury car market.

We see cars evolving from transportation in the Industrial Age into spatial robots in the age of AI. And we fuse the physical and digital worlds through AI, turning limited car space into infinite experiences. Our goal isn't just to transform the automotive industry through cutting-edge AI technologies, but also bring the benefits of AI to every family.

Join us in pushing growth boundaries and realizing our vision of "To Become a World-Leading Embodied AI Enterprise."!

Industry
Automotive & Mobility
Company Size
1,001-5,000 employees
Headquarters
Beijing, CN
Year Founded
2015
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