2D/3D Visualization Engineer

2 Months ago • 3 Years + • Rendering

Job Summary

Job Description

This role involves designing and implementing high-performance 2D/3D visualization components for Windows-based modeling software. Responsibilities include developing real-time rendering pipelines using 3D libraries, integrating visualization with HPC workflows via APIs like gRPC/GraphQL, implementing optimization techniques (lazy loading, LOD, parallel rendering), profiling and optimizing rendering pipelines for GPU/CPU performance, and handling large-scale data visualization. Experience with tools like Paraview, VTK, or Trame is required, along with proficiency in at least one programming language (C++, C#, Python). The ideal candidate will have a strong understanding of 3D graphics pipelines, shaders, and GPU programming (CUDA or similar).
Must have:
  • 3D visualization development experience
  • Proficiency in 3D libraries (Paraview, VTK, etc.)
  • Real-time rendering pipeline implementation
  • Performance optimization techniques
  • Large-scale data visualization experience
  • C++, C# or Python proficiency
Good to have:
  • Geospatial/scientific data visualization
  • Volumetric data and point cloud rendering
  • CUDA/GPU programming
  • Docker/Kubernetes experience
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

We seek a skilled 2D/3D Visualization engineer to design and implement high-performance visualization components for Windows-based modelling software. This role involves leveraging advanced 3D rendering technologies and optimization techniques to create an interactive and efficient visualization system.

Candidates with backgrounds in scientific visualization and/or video game development are encouraged to apply, as expertise in real-time rendering, performance optimization, and interactive 3D graphics are highly relevant.

Key Responsibilities:

Visualization Development:

  • Design and develop advanced 3D visualization components for HPC modeling applications.
  • Implement real-time rendering pipelines using tools 3D Libraries

Integration with Backend Systems and Frontend:

  • Collaborate with backend and computation teams to integrate visualization with HPC workflows.
  • Use APIs / gRPC / GraphQL for seamless interaction between 3D visualization components and other modules.

Performance Optimization:

  • Implement lazy loading and rendering techniques based on camera position and user interaction.
  • Develop level-of-detail (LOD) algorithms to optimize rendering for large datasets.
  • Profile and optimize rendering pipelines for performance across GPU and CPU.

Parallel Visualization:

  • Develop parallel rendering solutions for handling large-scale data efficiently.
  • Optimize data transfer and rendering processes for CPU/GPU systems.

Testing and Debugging:

  • Develop parallel rendering solutions for handling large-scale data efficiently.
  • Optimize data transfer and rendering processes for distributed systems.

Documentation:

  • Document visualization workflows, algorithms, and optimization techniques for maintainability and team knowledge sharing.

Qualifications:

Education:

Bachelor’s or Master’s degree in Computer Graphics, Computer Science, Game Development, or related fields.

Experience:

  • 3+ years of experience in 3D visualization development
  • Proven experience with 3D visual frameworks in at least one of the toolsets:
    • Paraview, VTK or Trame by Kitware
    • GetToolKit e.g. Petrel, Decision Space
    • Techsoft 3D Ansys
    • HueSpace 3D
  • Proven experience with 2D visualization (at least one):
    • GetToolKit 2D
    • Lighting Chart
    • SciChart
    • HoloView
  • Hands-on experience with large-scale data visualization and rendering optimization.

Technical Skills:

  • Programming Languages: (nice to have, at least one): Proficiency in C++, C# , Python .
  • Optimization Techniques: Lazy loading, LOD rendering, parallel visualization, and data virtualization.
  • GPU Programming: Familiarity with CUDA or similar for GPU-accelerated rendering.
  • 3D Graphics Pipelines: Strong understanding of shaders, buffers, and real-time rendering.
  • GPU Direct Memory Access is desirable. E.g. Microsoft DirectStorage API

Soft Skills:

  • Strong problem-solving skills and ability to handle complex data structures.
  • Excellent communication skills for cross-functional collaboration.
  • A passion for creating interactive and visually stunning user experiences.

Preferred Qualifications:

  • Experience with geospatial and scientific data visualization.
  • Knowledge of rendering large-scale volumetric data and point clouds.

Nice to have:

  • Familiarity with containerized environments (e.g., Docker, Kubernetes).

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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