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Open nowPosted 43 days ago

仿真与数据基础设施工程师-HK

agirobot/referral515 open roles

Where
Hong Kong (China), Hong Kong Island, Hong Kong, China
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Your applicationOpen now仿真与数据基础设施工程师-HKagirobot/referral · Hong Kong (China), Hong Kong Island, Hong Kong, China
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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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. agirobot/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 43 days ago

agirobot/referral median: 1 days open

The posting

1. 负责仿真环境的建设与维护,包括场景资产管理、物理参数标定、传感器仿真、域随机化(Domain Randomization)配置等; 2. 负责大规模并行采样与数据生成流水线的实现与优化,支撑 VLA、运控等方向的模型训练数据供给; 3. 负责真机数据采集与标注流水线的落地,制定并完善数据规范,实现采集、清洗、标注、入库、版本管理的自动化; 4. 负责数据质量评估体系建设,设计可量化的质量指标,识别并剔除低质量样本,持续提升训练数据的有效性; 5. 负责仿真—真机数据闭环的打通,建立 sim-to-real 差异的量化评估方法,并推动仿真环境的迭代改进;

1. 本科及以上学历,计算机、软件工程、机器人、自动化等相关专业,具备机器学习基础设施、数据平台或仿真环境相关经验; 2. 熟练掌握 Python,具备良好的工程能力与系统设计能力,熟悉 Linux 环境与容器化部署; 3. 熟悉以下一个或多个方向: 1. 机器人仿真平台(Isaac Sim / Isaac Lab、MuJoCo、Genesis 等)及其大规模并行能力; 2. 数据流水线与工作流编排(Ray、Airflow、Kubernetes 等); 3. 大规模数据存储与版本管理(对象存储、LeRobot / RLDS 等机器人数据格式); 4. 实验管理与训练框架(PyTorch、DDP / FSDP、Weights & Biases 等); 4. 对数据质量有深刻理解,能够从算法效果反推数据问题; 5. 有机器人或自动驾驶领域数据闭环建设经验者优先;有跨地域数据同步或多站点平台运维经验者优先。

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