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Open nowPosted 92 days ago

端到端具身智能规控专家 - 火山引擎

ByteDance19,198 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now端到端具身智能规控专家 - 火山引擎ByteDance · Beijing, 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. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 92 days ago

ByteDance median: 2 days open

The posting

团队介绍：火山引擎是字节跳动旗下云和AI服务平台，将字节跳动快速发展过程中积累的增长方法、技术能力和应用工具开放给外部企业，通过云和AI技术，推进企业智能化转型，激发增长潜能。

1、负责端到端VLA模型的实体智能体规控链路落地，完成模型推理输出到移动底盘、执行机构控制指令的全链路适配与工程化，打通端侧部署、真机调试完整流程； 2、主导规划控制算法的真机集成与性能优化，保障端到端具身系统的实时性、稳定性与运动柔顺性，持续打磨规控算法的实体运行表现与场景操作精度； 3、对接模型训练与部署团队，推进模型蒸馏量化后的端侧适配、效果对齐与真机调优，解决端侧部署中的精度损失、时延管控、硬件兼容性等问题； 4、搭建规控模块评测与回归体系，定位并解决仿真、真机场景中的规控类问题，驱动算法迭代闭环，持续提升复杂场景下的系统表现； 5、参与规控接口定义、执行器与底盘交互协议设计，支撑项目从Demo验证到规模化落地的全周期推进，沉淀通用规控技术能力。

1、3年以上自动驾驶规划控制算法研发经验，具备一段式端到端智驾系统量产落地经验； 2、深度理解Planning/Control/Prediction/Behavior Policy等模块，熟悉轨迹规划、优化控制、车辆运动学/动力学建模等方法； 3、熟悉模仿学习、强化学习、世界模型等端到端技术路线，理解模型训练、蒸馏量化到车端部署的完整流程； 4、理解横向/纵向控制算法，有车规级底盘控制对接与实车调优经验； 5、熟练掌握C/C++/Python，熟悉ROS/Autoware等智驾软件栈，有主流车规芯片部署与优化经验。

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