VinMotion

Tuyển dụng

Full Stack Engineer, Robotics Simulation

  • Hà Nội
  • Full-time

Position Overview

We are seeking a highly capable Software Developer (Fullstack) to build and optimize simulation platforms, web applications, and software infrastructure supporting humanoid robot development.

Key Responsibilities

  • Design, develop, and maintain fullstack applications supporting humanoid robot development.

  • Build web-based platforms for robot simulation, monitoring, visualization, and experiment management.

  • Develop backend services and APIs for robotics workflows and simulation pipelines.

  • Integrate with robotics simulation environments such as: Isaac Sim, MuJoCo

  • Optimize software performance, scalability, and reliability for large-scale simulation workloads.

  • Collaborate with AI and Robotics teams to translate research requirements into production-ready software solutions.

  • Build tools for simulation data management, experiment tracking, and analytics.

  • Improve system architecture and software engineering best practices across the robotics platform ecosystem.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field.

  • Core Languages: Proficiency in C++ AND Python, Java (Hybrid architecture experience is highly preferred).

  • Networking & Protocols: Strong experience in Socket Programming, specifically with UDP network bridges and WebSockets for real-time data streaming.

  • Web 3D Graphics: Strong experience with React.js and modern state management libraries (e.g., Zustand, Redux, or Recoil) optimized for handling high-frequency, real-time data streaming; and WebGL, Three.js, or Python-based 3D visualization tools (e.g., Viser). Familiarity with Server-Side Rendering (SSR) and/or Client-side Rendering (CSR) and optimizing server-client channels for 3D scenes.

  • Robotics (Plus): Experience with MuJoCo (MJCF/XML syntax), and optionally ROS 2.

  • Data & Config: Familiarity with parsing runtime configurations (YAML) and handling high-density event logging formats (JSONL).

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