Visual Graphics Algorithm Engineer

1 week ago

Singapore NetEase Full time $90,000 - $120,000 per year

About NetEase Games:

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:9999, "NetEase") provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China's most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase's ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an "A" rating from MSCI. For more information, please visit:

Responsibilities:

  • Join NetEase Games AI Lab to explore cutting-edge visual graphics algorithms and their applications in gaming scenarios;
  • Participate in the research, development, and implementation of AIGC algorithms for 3D game assets (including but not limited to characters, clothing, rigging, animation, environments, virtual humans, etc.).

Qualifications:

  • Master's or Ph.D. degree in Computer Vision, Graphics, or a related field;
  • 3-5 years of work experience in AIGC for 3D content generation;
  • Proficiency in at least one mainstream DCC software (Maya, 3DS Max, Blender, etc.) and one major game engine (Unreal or Unity);
  • Strong algorithmic and programming skills, with proficiency in Python and C/C ;
  • Proactive work attitude, ability to collaborate effectively within a team, and independently conduct research;
  • Candidates with first-author publications at top-tier conferences or journals, such as CVPR, ICCV, SIGGRAPH, SIGGRAPH Asia, TOG, or NeurIPS, are preferred.

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