Cloud robotics platform for warehouse automation and logistics
Rapyuta Robotics operates a cloud robotics stack (Python, C++, ROS/ROS 2, Kubernetes, Docker) targeting warehouse and logistics automation. The hiring mix is engineering-heavy (11 of 20 open roles) with senior-skewed seniority levels, reflecting the operational complexity of deploying physical systems at scale. Active project work spans deployment automation, QA frameworks, and distributed intelligence for warehouse robots — balanced against pain points in QA scaling and hardware-software integration.
Rapyuta Robotics builds cloud-connected robotics systems for automated warehouses and logistics environments. Founded in 2014 and headquartered in Tokyo, the company develops software that coordinates multiple robots, handling tasks like automated storage and retrieval (ASRS) and pick-assist operations. The platform bridges cloud infrastructure (Kubernetes, Docker, PostgreSQL) with real-time robot coordination and hardware design (Solidworks, CAD). Active hiring spans engineering, support, and design roles across Japan, India, and the United States, with a focus on senior-level talent.
Core languages: Python, C++. Robotics: ROS, ROS 2, RTOS. Infrastructure: Kubernetes, Docker, PostgreSQL, Redis. Testing: Pytest, Robot Framework, Playwright, Selenium, CircleCI, Jenkins. Design: Solidworks, AutoCAD. ML: CUDA, TensorRT, FastAPI, Django.
Key projects include deployment automation for robots, QA frameworks and tooling, warehouse ASRS implementation, distributed intelligence for multi-robot coordination, and design standardization for warehouse robot structures. Work spans hardware design and cloud-based orchestration.
Other companies in the same industry, closest in size
Rapyuta Robotics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.