Research Engineer Computer Graphics & Physically-Based Simulation

• Develop and optimize physically-based simulation algorithms, with a focus on cloth, soft bodies, or deformable materials.
• Implement high-performance C++ and Python modules for simulation, rendering, and data processing.
• Explore and integrate deep learning techniques into graphics and simulation pipelines (e.g., PyTorch, JAX, TensorFlow).
• Build tools for debugging, visualization, and validation of simulation results.
• Contribute to research and prototyping in real-time graphics, differentiable simulation, or novel rendering techniques, such as Gaussian Splatting.
• Collaborate with other team members to transition research prototypes into production-ready features.
• Stay current with the latest academic and industry advances in physics simulation, rendering, and neural graphics.

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field.
• Strong proficiency in C++ and Python, with a track record of building performant, maintainable software.
• Hands-on experience with physically-based simulation, particularly cloth, deformable solids, or mass-spring/finite-element methods.
• Strong understanding of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts.
• Experience with at least one major deep learning framework (PyTorch preferred).
• Excellent problem-solving skills and the ability to independently drive projects from concept to completion.

Bonus Qualifications:

• Experience with Gaussian Splatting.
• Familiarity with CUDA, compute shaders, or other GPU programming environments.
• Experience with differentiable simulation or inverse problems in graphics.
• Publications in top-tier graphics or ML venues (SIGGRAPH, CVPR, ICCV, NeurIPS, etc.) are a plus but not required.