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Open nowPosted 84 days ago

具身智能算法工程师

xsparkai/recruitment5 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now具身智能算法工程师xsparkai/recruitment · Shenzhen, Guangdong, 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 xsparkai/recruitment's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 84 days ago

The posting

1、参与具身智能算法研发与落地，面向移动操作、双臂操作、多机器人协同场景，参与模型训练、仿真评测、真机调试与产品交付全流程工作，配合团队完成算法闭环落地。 2、参与移动操作、双臂操作相关模型研发与训练，包括机器人操作模型、视觉语言动作模型（VLA）、模仿学习、强化学习、世界模型、轨迹生成、任务规划等模块的算法实现、实验迭代与效果调优，持续提升机器人任务成功率、稳定性与泛化能力。 3、跟进具身智能、VLM/VLA、机器人基础模型、多模态感知、仿真数据生成、Sim2Real、长程任务规划等前沿技术，参与技术预研、复现验证与方案原型开发，输出实验报告与技术方案。 4、参与算法全流程建设：数据采集与清洗、模型训练、仿真验证、真机测试，定位并解决真实场景感知误差、动作抖动、泛化差、长程任务失败等工程问题。 5、参与论文、专利、技术文档撰写，支撑平台能力建设与技术沉淀；配合项目节点完成算法迭代、版本维护与交付验收。 6、和机器人硬件、仿真平台、数据工程、产品、交付团队协同，参与算法需求梳理、评测指标定义、系统联调，保障项目有序推进。

1、计算机、人工智能、机器人、自动化、电子工程等相关专业，硕士及以上学历。 2、具备扎实的机器人学习或具身智能算法背景，熟悉以下一个或多个方向：机器人操作、移动操作、双臂操作、模仿学习、强化学习、视觉语言动作模型、机器人基础模型、世界模型、运动规划、Sim2Real。 3、具备较强的模型训练与工程落地能力，熟悉 PyTorch/JAX/TensorFlow 等深度学习框架，能够独立设计并推动大规模数据训练、模型评测和部署优化。 4、有真实机器人系统经验，理解机器人从感知、规划、控制到执行的完整链路；有机械臂、双臂机器人、移动底盘、灵巧手或移动操作平台经验者优先。

# 加分项 1、有 VLA、VLM、机器人基础模型、Diffusion Policy、ACT、OpenVLA、π0、RDT、机器人世界模型等相关研发经验。 2、有双臂协作、长程任务、多阶段操作、接触丰富操作、移动操作或复杂家务/工业任务落地经验。 3、有 Isaac Sim、MuJoCo、SAPIEN、RoboSuite、ManiSkill、Omniverse 等仿真平台经验。 4. 有大规模机器人数据采集、仿真数据合成、自动评测平台、机器人 benchmark 或 leaderboard 建设经验。 5. 在机器人、机器学习、计算机视觉等领域顶会发表论文，或有高质量开源项目、专利、竞赛获奖经历。

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