We are a startup focused on embodied intelligence applications. Our mission is to combine AI, robotics, and real-world use cases to build application systems for next-generation intelligent devices and agents.
Based on your strengths and interests, you will contribute to one or more areas across full-stack development, embedded/device software, and engineering/operations.
Responsibilities
- Participate in backend service development for embodied intelligence application systems, including API design, business logic implementation, database modeling, and service integration.
- Participate in frontend web application development for device status visualization, task management, 3D visualization, and real-time interaction.
- Participate in software development for device-side, robot-side, or edge nodes, including data collection, message communication, and service integration.
- Implement reliable communication between frontend/backend, cloud, and devices using protocols such as HTTP RESTful API, WebSocket, and MQTT.
- Participate in the use and optimization of core infrastructure components such as databases, caches, and message queues.
- Participate in engineering practices throughout product R&D, including code management, testing, deployment, logging, monitoring, and troubleshooting.
- Use AI coding tools to improve development efficiency and support code generation, context management, debugging, and documentation.
- Read English technical documentation and quickly learn and implement new frameworks, SDKs, protocols, and toolchains.
Requirements
- Strong proficiency in Python and JavaScript/TypeScript, with solid engineering coding practices.
- Familiarity with common backend frameworks such as FastAPI and SQLAlchemy, and understanding of core web service development patterns.
- Familiarity with common frontend frameworks such as React, with the ability to independently develop basic pages, components, and state management.
- Familiarity with Three.js; experience in 3D scenes, device visualization, digital twins, or interactive graphical interfaces is a plus.
- Familiarity with HTTP RESTful API, WebSocket, MQTT, and core mechanisms of real-time and device communication.
- Proficiency with relational databases and understanding of common use cases for caches and message queues, such as PostgreSQL/MySQL, Redis, and RabbitMQ/Kafka.
- Proficiency with Linux and Git, with the ability to develop, debug, and troubleshoot in Linux environments.
- Ability to read English technical documentation fluently, with strong self-learning capability.
- Experience using AI coding tools, with your own understanding of context engineering, prompt organization, and AI-assisted development.
- Strong communication, ownership, and problem decomposition skills, and the ability to deliver in a fast-changing startup environment.
Nice to Have
- Familiarity with C++, with experience in robotics, embedded systems, edge computing, or high-performance module development.
- Familiarity with WebRTC, with experience in audio/video transmission, remote control, or real-time interactive systems.
- Experience with cloud platforms such as AWS, Alibaba Cloud, Tencent Cloud, Volcano Engine, GCP, or Azure.
- Experience with Docker, CI/CD, automated deployment, DevOps, or infrastructure engineering.
- Experience with observability systems, including logging, metrics, tracing, and alerting.
- Project experience in robotics, ROS, simulation, digital twins, IoT, intelligent hardware, or embodied intelligence.
- Solid personal projects, open-source contributions, technical blogs, or other demonstrable work.
What You'll Gain
- The opportunity to build real embodied intelligence products from 0 to 1.
- Exposure to a cross-domain stack spanning AI applications, robotics systems, real-time communication, 3D visualization, and engineering deployment.
- Direct collaboration with the core team and strong room for technical ownership and growth.
- Opportunities to own independent modules based on your capabilities and continuously participate in product iteration.
- Top performers may receive full-time conversion or long-term collaboration opportunities.
