You have strong skills in computer graphics, simulation, and high-performance coding. In this role, you help design, prototype, and improve advanced simulation algorithms, especially for cloth and deformable materials. You work closely with research scientists and engineers to turn new ideas into reliable systems. You will help shape the future of online fashion shopping by using 3D computer vision and graphics to create digital avatars and garments.

• Develop and improve simulation algorithms for cloth, soft bodies, or deformable materials.
• Write high-performance C++ and Python modules for simulation, rendering, and data processing.
• Use deep learning tools like PyTorch, JAX, or TensorFlow in graphics and simulation pipelines.
• Build tools to debug, visualize, and check simulation results.
• Research and create real-time graphics and new rendering techniques, such as Gaussian Splatting.
• Work with team members to turn research prototypes into finished features.
• Stay updated on the latest in physics simulation, rendering, and neural graphics.

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field.
• Strong skills in C++ and Python with experience building fast, reliable software.
• Hands-on experience with physically-based simulation, especially cloth, deformable solids, or mass-spring/finite-element methods.
• Good understanding of computer graphics, numerical methods, and GPU or parallel computing.
• Experience with at least one deep learning framework (PyTorch preferred).
• Excellent problem-solving skills and ability to work independently from start to finish.
• Bonus: Experience with Gaussian Splatting.
• Bonus: Familiarity with CUDA, compute shaders, or other GPU programming.
• Bonus: Experience with differentiable simulation or inverse problems in graphics.
• Bonus: Publications in top graphics or ML venues are a plus.

• Work in a leading academic environment at ETH Zurich.
• Chance to turn research into a product that can change the fashion industry worldwide.
• Be part of a core team at the front of scientific innovation.
• Flexible work options, including remote work.
• Inclusive culture that values diversity and equal opportunity.
• Commitment to sustainability and a climate-neutral future.