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Cloud Infrastructure Engineer
Intuition
Responsibilities
- Design and operate our data infrastructure at the petabyte scale. Ingest, processing, storage, serving.
- Build the pipelines that take raw capture data from device upload to training-ready dataset.
- Make the platform fast, cheap, and reliable as we scale from single-digit petabytes to tens of petabytes and beyond.
- Work directly with the ML and device teams to remove every bottleneck between capture and training.
- Use AI coding tools as a core part of your workflow.
Requirements
- Deep knowledge of distributed systems and modern data infrastructure. Object storage, streaming, columnar formats, orchestration.
- Strong cloud fundamentals. You know what a workload should cost and how to get it there.
- High agency — you don't wait to be told what to do.
- Fluent in English.
About the company
我们是一家位于硅谷、获风险投资支持的 AI 机器人初创公司，致力于让机器人在真实世界中规模化落地。我们从两大方向切入：一是依托庞大的分销网络（合作伙伴包括美的、梅赛德斯-奔驰、宝洁等众多企业），将机器人部署到真实应用场景中；二是以多样化的方式，在重工业、家政服务等多个领域采集多元化的数据。我们部署来自 OEM 合作伙伴的机器人——其中包括 KUKA（库卡机器人）：在 Intuition 与 KUKA 已公开宣布的合作中，我们提供模型与部署基础设施，让机器人在不同场景中可靠运行。
- Industry
- AI硬件与机器人
- Founded
- 2023-05-23
- Resume email
- recruit@joyangconsulting.com