Full Stack Developer (WebGL & Three.js)

About the Role

We are seeking a highly skilled Full Stack Software Engineer with strong expertise in Three.js and WebGL to join an innovative engineering team working on cutting-edge ADAS/Autonomous Driving (AD) solutions.

In this role, you will collaborate with distinguished engineers to build and enhance a Three.js LiDAR annotation tool that supports terabytes of autonomous driving data. This is a hands-on position requiring deep 3D graphics knowledge and strong full-stack web development skills.

If you are passionate about immersive web experiences, 3D visualization, and solving complex visual engineering challenges, this opportunity is for you.

Key Responsibilities

• Design and develop scalable front-end and back-end web applications

• Enhance and maintain a Three.js LiDAR annotation platform using React + TypeScript

• Work closely with cross-functional engineering teams to design and deliver new features

• Optimize 3D performance for large-scale point cloud datasets

• Write clean, maintainable, production-ready code

• Mentor junior engineers and provide technical leadership

Required Qualifications

• Bachelor’s Degree (Master’s Preferred) in Computer Science, Engineering, or related field

• 3+ years of professional experience as a Full Stack Software Engineer

• Strong experience with WebGL, Three.js, and related 3D frameworks

• Advanced Three.js knowledge:

  • Performance Optimization

  • 3D Animation

  • LiDAR Point Cloud Manipulation

• Solid understanding of:

  • Scene & Camera Management

  • Raycasting

  • Labels & Markers

  • Point Cloud Rendering

  • Data Management

• Experience with 2D graphics libraries (Fabric.js, Konva.js)

• Strong proficiency in:

  • React.js

  • Express.js

  • TypeScript

  • PostgreSQL

• Backend experience with Node.js, Python, or Golang

• RESTful API development and integration experience

• Strong database design and query optimization skills

• Experience with Git or other version control systems

Preferred Qualifications

• Experience with robotics or autonomous driving datasets

• Cloud platform experience (AWS or Azure)

• DevOps tools and CI/CD exposure

• Experience handling large-scale data systems

What We Offer

• Opportunity to work on next-generation autonomous driving technologies

• Exposure to large-scale LiDAR and AD data systems

• Collaborative and innovative engineering environment

• Competitive compensation

• High-impact technical challenges