04 / SYSTEMS · BEIJING

AI Infra Engineer · Training & InferenceAI Infra 工程师 · 训练与推理

Make training faster, serving lower-latency and the path from experiment to robot shorter.建设高性能、高可靠的训练与推理基础设施,缩短从实验到真机验证的周期。

Mission岗位使命

Build the compute and serving layer that lets our model teams iterate at research speed and ship reliable robot intelligence.构建计算与服务层,让模型团队以研究速度迭代,并可靠交付机器人智能。

Apply via email →发送申请邮件 →发送申请邮件 →

Responsibilities工作职责

  • Optimize distributed training, data loading, checkpointing and recovery.优化分布式训练、数据加载、检查点和恢复。
  • Build low-latency inference and deployment paths for robots.建设面向机器人的低延迟推理与部署链路。
  • Profile GPU systems and turn bottlenecks into measurable wins.分析 GPU 系统性能,将瓶颈转化为可度量的提升。

Qualifications任职要求

  • Strong Python/C++ and Linux systems engineering skills.扎实的 Python/C++ 与 Linux 系统工程能力。
  • Experience with PyTorch, CUDA, Triton, NCCL or serving stacks.有 PyTorch、CUDA、Triton、NCCL 或推理服务栈经验。
  • Care about correctness, reproducibility, observability and cost.重视正确性、可复现性、可观测性和成本。

How to apply申请方式

Send a CV and a performance or systems project to hr@xvirobotics.com.请将简历和性能或系统项目发送至 hr@xvirobotics.com。

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