Job Opportunity: Research Engineer in Computer Graphics
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 Details
This role is part of an Innosuisse project where ETH Zurich is the research partner alongside implementation partner Vestir AI. Together, we aim to revolutionize online fashion shopping through advanced 3D Computer Vision and Computer Graphics techniques, digitizing human avatars and garments in 3D. Your responsibilities will include implementing physically-based garment simulation techniques and developing efficient rendering algorithms.
Key Responsibilities
- 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 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.
Qualifications
- 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.
What 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 part of a core team working at the forefront of scientific innovation.
- Flexible working arrangements, including options for remote work.
Apply online using the form below. Only applications matching the job profile will be considered.
Contact Information
For further information about the ETH AI Center, please visit our website. Questions regarding the position can be directed to Dr. Manuel Kaufmann at manuel.kaufmann@ai.ethz.ch.
Please note that pre-selection is carried out by the responsible recruiters and not by artificial intelligence. For recruitment services, the GTC of ETH Zurich apply.