Huawei’s vision is to enrich life through communication and intelligent innovation.
We are a fast-growing global leader in information and communications technology (ICT), driving breakthroughs in AI, cloud computing, and smart device technologies. Through our three major business groups—Carrier, Enterprise, and Consumer—we provide advanced network infrastructure, cloud and AI computing platforms, and industry-leading devices such as smartphones, tablets, watches and so on.

Our technologies power 45 of the world’s top 50 telecom operators, and one-third of the global population benefits from Huawei innovations. With operations in over 170 countries and a global workforce of more than 180,000 employees—over 80,000 of whom are engaged in research and development—we are deeply committed to pushing the boundaries of technology.

At Huawei, you will be part of a dynamic, diverse, and inclusive environment, collaborating with talented professionals from over 150 nationalities. We actively invest in and reward talent. If you're passionate about AI, computing, and solving challenging problems through innovation, you'll find unparalleled opportunities to grow, lead, and make global impact with us.

Huawei's Zurich Research Center is a leading European hub for cutting-edge computer vision and AI research. We are seeking a passionate and innovative Research Scientist to drive next-generation breakthroughs in 3D modeling, depth estimation, and 3D foundation models. Your work will power future Huawei products in mobile phones, XR, robotics, and beyond.

What You’ll Work On

• Designing and developing high-quality depth estimation algorithms from multi-view, monocular, stereo, or hybrid inputs.
• Building robust and scalable 3D scene reconstruction and modeling systems.
• Researching and adapting 3D foundation models (e.g., NeRFs, 3D Gaussian Splatting, implicit representations) for downstream tasks.
• Creating efficient and compact models suitable for deployment on edge and mobile devices.
• Collaborating with cross-functional teams to push the limits of real-time 3D perception.
• Publishing papers at top computer vision venues.

Qualifications

• PhD or MS with research experience in Computer Vision, Machine Learning, Graphics, or related fields.
• Strong publication record in top-tier venues (CVPR, ICCV, NeurIPS, SIGGRAPH, ECCV, etc.).
• Proven experience in one or more of the following:
  • 3D reconstruction, neural rendering, depth estimation
  • 3D foundation models and pretraining
  • Efficient model design (quantization, distillation, pruning, NAS, etc.)
• Solid coding skills in Python and deep learning frameworks (e.g., PyTorch).
• Experience with real-time or on-device inference is a plus.
• Solid coding skills in C++ is a plus.

Why Join Huawei Zurich?

• Work on impactful, product-facing research that reaches millions of users.
• Collaborate with world-class scientists and engineers in an open, curiosity-driven environment.
• Enjoy a competitive salary, and a high quality of life in beautiful Zurich.