Full-Stack Software Engineer (Robot & Embodied AI Direction)

Job Highlights
Responsible for the full-stack engineering landing of cutting-edge robot embodied intelligence systems.
Build high-concurrency, stable and scalable robot cluster management platforms.
Deeply cooperate with algorithm and scheduling teams to implement industrial-level robot intelligent systems.
Job Responsibilities
Undertake full-stack development, module iteration and stable operation of robot cluster scheduling and embodied intelligent management platform.
Complete algorithm engineering, model encapsulation, inference acceleration and online deployment for VLN, RL, 3D reconstruction and World Model.
Develop and optimize distributed scheduling services, device management, data monitoring and task management modules.
Build engineering pipelines for data collection, simulation testing, model deployment and system operation & maintenance.
Complete front-end and back-end joint debugging, performance optimization and version iteration to support large-scale robot cluster operation.
Job Requirements
Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence or related fields.
Solid full-stack development capability, proficient in one or more back-end languages (Go/Java/Python) and database development.
Familiar with Linux, ROS/ROS2 development environment, familiar with microservice architecture and high-concurrency system development.
Experience in AI algorithm engineering, robot platform development or equipment cluster scheduling system is preferred.
Good engineering thinking, independent problem-solving ability and team collaboration awareness.
Core Skills
Full-Stack Development
AI Algorithm Engineering
Model Deployment & Acceleration
Distributed Service Development
Robot Platform Development
ROS/ROS2 Engineering
Microservice Architecture
High-concurrency System
Data Pipeline Construction
Front-end & Back-end Integration
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