3D Computer Graphics Engineer
職缺描述
Duties and Responsibilities
- Maintenance and development of new features for the WebGL/ThreeJS geospatial renderer written in TypeScript.
- Maintenance and implementation of pipeline programs written in Rust to convert various 3D file formats (LAS, Obj, b3dm, glTF, GeoTIFF, GeoJSON, BIM/CAD) into formats supported by the Web Viewer.
- Work with geospatial datasets and toolchains (e.g., GDAL, EPSG projections, Tile Map Service, Slippy Maps).
- Being able to come up with prototypes & proof of concepts even if it requires learning a new 3D engine, or utilizing an open-source project that you have not used before.
Requirements
- Interest in working with large, enterprise scale 3D datasets
- Proficient in Typescript with a background in C++/Rust
- Solid foundations in linear algebra and 3D mathematics
- Understanding of how to effectively utilize the GPU for high performance rendering
- Knowledgeable in the ThreeJS library and the underlying WebGL API
- Familiarity with (or willing to learn about) geospatial data and tools
- Excellent communication skills
Nice to haves
- Experience in building your own 3d rendering engine in any graphics API (WebGL, OpenGL, Vulkan etc.)
As part of your application, please attach the following items to your resume:
- Your Cover Letter with answers to the following two questions (1) Why do you want to work at Skand and (2) What is the most difficult engineering problem that you’ve worked on (as much detail as possible)
- Your CV
- A link to the project that you are proud of. If you don’t have one, please let us know and we will send you a task for us to evaluate your fit.
關於我們
The last 150 years have seen engineering and architecture projects grow increasingly sophisticated. Many people are involved in different stages of the project lifecycle, from the initial planning to construction and maintenance. However, one thing is common across them all: data.
Skand’s vision is to bring spatial data to everyone. We achieve this by creating a platform that allows users to manage, visualize, and share their data. It is becoming adopted by more and more industries, with clients such as Crown Casino, Melbourne Metro, and Veris, to name a few.
We deal with incredibly diverse datasets, from PDFs and images to CADs, photogrammetry meshes, and point clouds that can be hundreds of gigabytes large. It raises interesting engineering problems, from designing scalable data pipelines in the cloud to building the 3D Web Viewer with which users can manipulate their data (have a sneak peek at https://skand.io/webapp-embed/).