Job
Description
About the Client & Project Our client is building a next-generation, browser-based 3D platform to support the customization of orthopedic medical devices. This solution is designed to bring the capabilities of an existing Unity-based desktop application to the web, enabling real-time 3D visualization, collaborative clinical workflows, and streamlined device configuration tools. Key Responsibilities Lead architectural decisions and R&D phases of a browser-native 3D platform built on top of Unity WebGL Define and implement the web technology stack, including Unity WebGL, WebAssembly modules, and JavaScript interoperability Export existing Unity desktop functionality to WebGL, integrating C++ logic using Emscripten Develop a web interface that integrates with the Unity canvas (e.g., via Vue.js or a comparable frontend framework) Collaborate with product teams to translate clinical requirements into performant 3D tools Work with backend engineers on real-time collaboration features, including data streaming and session sync Participate in agile team processes, including weekly stand-ups, sprint planning, and stakeholder reviews Technical Requirements Proven experience with Unity WebGL builds and plugin integration workflows Hands-on experience compiling and integrating C++ or Rust libraries into WebAssembly using Emscripten Proficiency in JavaScript , TypeScript , and modern frontend tools such as Vite , Webpack , or Rollup Strong understanding of WebGL and browser-based 3D rendering constraints Experience working with 3D file formats such as STL , OBJ , or 3MF Knowledge of performance optimization and memory management in browser environments Familiarity with Unity’s interaction system and how to extend or interface with it in a WebGL context Nice to Have Experience with Vue.js or another modern reactive frontend framework Background in medical software or regulated industries (HIPAA, FDA, etc.) Exposure to collaborative multi-user environments , such as CRDT-based or real-time sync architectures Familiarity with cloud-based processing workflows (AWS, Azure) Experience with mesh processing libraries such as libigl , CGAL , or pmp in WASM pipelines Show more Show less
