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Robotics Research Engineer
Intuition Co., Ltd.
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
We are a venture-backed AI robotics startup based in Silicon Valley, dedicated to scaling the real-world deployment of robots. We focus on two key areas: first, leveraging an extensive distribution network (with partners including Midea, Mercedes-Benz, Procter & Gamble, and others) to deploy robots into practical application scenarios; second, collecting diverse data across heavy industry, home services, and other sectors through varied methods. We deploy robots from OEM partners—including KUKA—providing the models and deployment infrastructure that enable reliable operation across different environments, as part of the publicly announced collaboration between Intuition and KUKA.
- Industry
- AI Hardware & Robotics
- Founded
- 2023-05-23