We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role, you will design, prototype, and optimize advanced simulation algorithms-particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based graphics technologies. You will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust, production-quality systems.
Project backgroundWe are looking to fill this role as part of an Innosuisse project where ETH is the research partner alongside implementation partner Vestir AI. In this project we are working on revolutionizing online fashion shopping through the use of advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to implement physically-based garment simulation techniques and work on efficient rendering algorithms.
Job description - 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.
Profile - 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.
We offer - A stimulating academic environment at one of the world's leading technical universities.
- The opportunity to transform research into a product that will disrupt the fashion industry with global impact.
- Being a part of a core team working at the forefront of scientific innovation.
- Flexible working arrangements, including options for remote work.
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