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Open nowPosted 601 days ago

智能车控软件架构师

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now智能车控软件架构师li/referral · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on li/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 601 days ago

li/referral median: 1 days open

The posting

工作职责： Ø 负责智能车控（智能能源，智能底盘，智能环境等）功能的平台化软件架构设计和落地实施 - 支持不同硬件加速器和智能化算法的平台化开发框架设计 - 结合不同硬件架构，深度学习框架和AI编译等相关技术，加速智能车控算法的推理，部署的落地 Ø 负责智能化软件性能和资源使用的优化方案制定和落地实施 Ø 负责根据实际业务情况制定智能化软件开发和分工流程 Ø 负责分析智能功能对芯片资源的需求，支撑控制器芯片选型

任职要求： Ø 在智能算法架构设计，开发，集成，部署领域有8年以上工作经历，有产品量产开发经验 Ø 熟悉至少一种主流深度学习算法开发框架（TensorFlow， PyTorch）和性能调优 Ø 熟练掌握模型部署时的压缩技巧（模型剪枝、量化和蒸馏等） Ø 熟悉AI编译器相关技术，至少熟悉一种片上的主流算力芯片的编译（地平线，昇腾等）和性能调优 Ø 熟悉 ARM 体系架构，熟悉DSP, GPU, NPU等硬件加速器的特性和性能调优 Ø 熟悉至少一种并行计算编程框架（OpenCL，CUDA）和性能调优者 Ø 熟悉智能软件全开发环节，有平台化软件架构的设计能力和成功经历 Ø 可以根据智能化功能需求，完成功能部署分配和资源消耗的预估 Ø 善于沟通，有良好的逻辑表达能力，团队协作精神良好

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on li/referral's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    li/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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