Scientific Visualization Engineer (ParaView)

Job Title: Scientific Visualization Engineer (ParaView)

Job Type: Engineering

Location: Remote

Job Summary:

Join our customer's team as a Scientific Visualization Engineer (ParaView) and play a pivotal role in transforming complex scientific data into impactful visual insights. You will leverage your expertise in ParaView to process and visualize large-scale simulation datasets, supporting advanced research and innovation. Your work will drive clarity and understanding in high-stakes computational environments.

Key Responsibilities:

1. Develop and implement advanced visualization pipelines using ParaView to interpret and present simulation data.
2. Process, analyze, and visualize large-scale CFD and FEM datasets, ensuring data quality and integrity throughout.
3. Design and apply custom filters, scripting, and parallel processing techniques for high-performance visualizations.
4. Collaborate with scientists, engineers, and other stakeholders to translate complex data requirements into clear visual representations.
5. Produce publication-ready scientific visualizations tailored to research goals and analysis needs.
6. Document workflows, best practices, and technical approaches for reproducibility and knowledge sharing.
7. Stay up-to-date with the latest ParaView features, community tools, and trends in scientific visualization.

Required Skills and Qualifications:

1. Deep expertise in ParaView, including scripting (Python, ParaView macros) and advanced visualization workflows.
2. Hands-on experience with large-scale simulation data (CFD/FEM) and domain-specific visualization techniques.
3. Strong proficiency in parallel data processing and working with HPC or distributed computing environments.
4. Demonstrated ability to produce high-quality, insightful visualizations for technical analysis and publication.
5. Excellent written and verbal communication skills, with a focus on clear documentation and cross-team collaboration.
6. Solid problem-solving abilities, attention to detail, and an analytical mindset.
7. Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Applied Mathematics, or a related field.

Preferred Qualifications:

1. Experience integrating ParaView with custom analysis tools or bespoke research software stacks.
2. Background in scientific computing, numerical methods, or related computational sciences.
3. Familiarity with open-source scientific visualization ecosystems and contributing to community initiatives.