Research Engineer / Research Engineeress in Computer Graphics & Physically-Based Simulation

Research Engineer in Computer Graphics & Physically-Based Simulation

80%-100% Position, Zurich, Fixed-Term

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, while contributing 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 Background

This role is part of an Innosuisse project where ETH serves as the research partner alongside implementation partner Vestir AI. We are focused 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. Your responsibility will include implementing physically-based garment simulation techniques and developing efficient rendering algorithms within this transformative project.

Job Description

• Develop and optimize physically-based simulation algorithms, focusing 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.

Profile

• Bachelor's, Master's, or PhD in Computer Science, Computer Graphics, or a related field.
• Strong proficiency in C++ and Python, with a proven track record of building performant, maintainable software.
• Hands-on experience in physically-based simulation, particularly with 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.

Workplace

This position offers a stimulating academic environment at one of the world's leading technical universities. You will have the opportunity to transform research into a product that aims to disrupt the fashion industry with a global impact. Become a part of a core team working at the forefront of scientific innovation, with flexible working arrangements, including options for remote work.

We Value Diversity and Sustainability

In line with our values, ETH Zurich fosters an inclusive culture. We promote equality of opportunity, value diversity, and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Sustainability is a core value for us, and we are consistently working towards a climate-neutral future.

Curious? So Are We.

Apply online using the form below. Only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology. Renowned for excellent education and cutting-edge fundamental research, we directly transfer new knowledge into society. Our community of over 30,000 people from more than 120 countries promotes independent thinking and creativity. Located in the heart of Europe while establishing connections globally, we collaborate to address the challenges of today and tomorrow.