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Robotics Research Engineer
Intuition
Responsibilities
- Train and fine-tune our VLA (Vision-Language-Action) models. Reproduce, ablate, and improve across our models and the public ones.
- Optimize and deploy models on edge devices for real-time inference. Latency, throughput, reliability, and quantization where it matters.
- Build and scale our evaluation infrastructure. Run benchmarks in sim and on real robots, across the standard ones from industry and research.
- Design and ship new evals where the existing ones do not measure what we care about.
- Build the deployment stack for real robot fleets. Remote teleoperation, on-robot model distillation, cloud-to-edge inference, intervention detection.
- Integrate, calibrate, and tune real robot platforms for production deployments. Travel to customer factories. Own the deployment from arrival to handoff.
- Work side by side with the research team to take ideas from notebook to robot fast.
- Use AI coding tools as a core part of your workflow.
Requirements
- Strong engineering background with hands-on robotics or embodied AI experience. You have shipped code that ran on real hardware.
- Production experience with ML infrastructure. Training, eval, deployment, observability.
- Comfortable across the stack. Python, C++, distributed systems, GPU.
- Willing to travel to customer sites and work on the factory floor when needed.
- 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