Research Engineer

vor 2 Wochen

Zürich, Zürich, Schweiz Vestir AI Vollzeit CHF 120'000 - CHF 180'000 pro Jahr

About Us

Vestir is revolutionising online fashion shopping through the use of AI-powered digital avatar technology. We are using cutting edge computer vision techniques and AI science to create an online shopping experience that has never been seen before.

Are you entrepreneurially minded & looking for a challenge that could be the next big thing? Are you passionate about technology & fashion & combining the two to produce a truly elevated customer experience? Are you ambitious and itching to be part of an early stage team working at the forefront of scientific innovation?

If so, this may be the challenge for you.

About the Role

We are seeking a talented Research Engineer to join our top flight research team.

The right person will be a self starter, capable of driving things forward and making continual progress through iteration. You will have strong expertise in Computer Graphics, physics-based simulation, with the ability to translate findings into 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 the 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.

What you'll do:

  • Develop and optimize physics-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 cross-functional teams to transition research prototypes into production-ready features
  • Stay current with the latest academic and industry advances in physics simulation, rndering and neural graphics

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Computer Graphics, Applied Physics, or a related field
  • Excellent problem-solving skills and the ability to independently drive projects from concept to completion
  • 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)

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

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