Senior Visualization Application Developer

Project description

The SEM product is embedded within the Geosciences Suite of Applications. This application has multiple views consisting of both 2D and 3D visualizations. The current data visualization is not sufficient for what we would like it to be. This role is expected to work with the lead and the product owner to understand the current shortcomings, investigate and research potential solutions, propose these solutions to the teams, and then work on the implementation of the agreed upon work.

To get to this stage, the developers will also need to learn the inner workings of the visualization framework within Geoscience.

• Design, develop, and maintain graphics-intensive modules within the Geoscience platform using Java and OpenGL.
• Implement advanced 2D and 3D visualization features for seismic, geological, and geospatial data.
• Optimize rendering performance and ensure cross-platform compatibility, particularly in Linux environments.
• Collaborate with geoscientists and software engineers to translate domain-specific requirements into technical solutions.
• Participate in code reviews, testing, and documentation to maintain high-quality software standards.
• Stay updated with the latest developments in graphics technologies and geoscience applications.

• Bachelor's or Master's degree in Computer Science, Geoscience, or a related field.
• 5+ years of professional experience in Java development with a focus on graphics programming.
• Proficiency in OpenGL and related graphics libraries for rendering complex datasets.
• Strong experience working in Linux environments, including shell scripting and system optimization.
• Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary team.

• Experience with geoscience software platforms.
• Familiarity with geoscience data formats and visualization techniques.
• Knowledge of additional programming languages such as C++ or Python.
• Understanding of GIS technologies and spatial data analysis.
• Experience with agile development methodologies and version control systems like Git.