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: Develop and implement advanced visualization pipelines using ParaView to interpret and present simulation data. Process, analyze, and visualize large-scale CFD and FEM datasets, ensuring data quality and integrity throughout. Design and apply custom filters, scripting, and parallel processing techniques for high-performance visualizations. Collaborate with scientists, engineers, and other stakeholders to translate complex data requirements into clear visual representations. Produce publication-ready scientific visualizations tailored to research goals and analysis needs. Document workflows, best practices, and technical approaches for reproducibility and knowledge sharing. Stay up-to-date with the latest ParaView features, community tools, and trends in scientific visualization. Required Skills and Qualifications: Deep expertise in ParaView, including scripting (Python, ParaView macros) and advanced visualization workflows. Hands-on experience with large-scale simulation data (CFD/FEM) and domain-specific visualization techniques. Strong proficiency in parallel data processing and working with HPC or distributed computing environments. Demonstrated ability to produce high-quality, insightful visualizations for technical analysis and publication. Excellent written and verbal communication skills, with a focus on clear documentation and cross-team collaboration. Solid problem-solving abilities, attention to detail, and an analytical mindset. Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Applied Mathematics, or a related field. Preferred Qualifications: Experience integrating ParaView with custom analysis tools or bespoke research software stacks. Background in scientific computing, numerical methods, or related computational sciences. Familiarity with open-source scientific visualization ecosystems and contributing to community initiatives.