Visualization Engineer - Landmark

Halliburton•Calgary, AB

3d•Onsite

About The Position

You will focus on building the visualization layer for next-generation geoscience applications. This role is centered on displaying, exploring, and interacting with large-scale scientific datasets within modern web applications. You will work closely with front-end engineers, AI engineers, and domain experts to develop high-performance visualization capabilities that allow users to interact with millions of data points in real time. You will help design and implement rendering systems, data processing pipelines, and visualization frameworks that transform complex geoscience data into interactive visual experiences. You will build software for the following domain: Geoscience - geology, geophysics, or petrophysics.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Graphics, Visualization, or a related discipline, or equivalent experience
5+ years of software development experience
Strong understanding of computer graphics fundamentals, rendering pipelines, shaders, and GPU programming concepts
Experience developing interactive 2D and 3D visualization for Scientific application or Games.
Experience working with large datasets using Level-of-Detail (LOD), streaming, caching, and performance optimization techniques.
Strong problem-solving and analytical skills.
Experience profiling and optimizing rendering and application performance
Experience displaying and interacting with very large datasets in web applications
Experience with GPU-accelerated rendering technologies such as WebGL, WebGPU, Three.js, deck.gl, Cesium, or similar frameworks
Experience optimizing rendering performance, memory consumption, and application responsiveness
Experience developing interactive visualizations involving panning, zooming, selection, filtering, layering, or spatial navigation
Experience profiling and troubleshooting performance issues in modern browsers
Experience consuming APIs and streaming large datasets to client applications
Clear written and verbal communication, including the ability to explain technical trade-offs to teammates and stakeholders
Experience using AI development tools in an effective and productive fashion

Nice To Haves

Experience with scientific visualization, GIS, CAD, E&P, engineering, or simulation software
Experience working with point clouds, 2D/3D geometry, meshes, raster data, or spatial data structures
Experience with WebGPU and modern browser graphics pipelines
Experience with cloud-native development including containers and Kubernetes

Responsibilities

Design and implement high-performance visualization components for complex scientific and engineering datasets
Build rendering systems capable of displaying and interacting with millions of points, vectors, surfaces, or spatial objects
Design interaction models for zooming, filtering, selection, annotation, and navigation of large datasets
Optimize visualization performance across CPU, GPU, and memory
Use AI-assisted development tools to accelerate implementation, debugging, performance tuning, and test generation for visualization components
Evaluate emerging AI-assisted approaches for visualization generation, interaction design, and data exploration
Collaborate with UI engineers to integrate visualizations into application workflows
Develop efficient client-side data structures, indexing strategies, and pipelines
Evaluate and integrate visualization libraries, rendering frameworks, and graphics technologies where appropriate
Apply secure coding practices and participate in code reviews
Communicate clearly across a distributed, cross time zone team