3D Graphics & Geometry Research Intern (6-month)

Tencent

Singapore

On-site

SGD 28,000 - 50,000

Part time

14 hours ago
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Job summary

Tencent Games / IEG Global invites a motivated master's or PhD candidate to join our research lab in Singapore. You will work on mesh reconstruction, geometry simplification, and LOD/HLOD generation, exploring differentiable rendering and learning-based methods to optimize 3D assets for games.

You will design experiments, compare visual quality and silhouette accuracy, and build reproducible prototypes with engineers to assess practical value in real-time rendering pipelines.

Qualifications

  • Experience with 3D geometry processing or related graphics research.
  • Ability to propose and test experimental methods.
  • Strong written and verbal communication in English.

Responsibilities

  • Research and prototype mesh processing methods and LOD generation.
  • Explore differentiable rendering and learning-based geometry processing concepts.
  • Design experiments comparing visual quality, geometry accuracy, and cost.
  • Build reproducible prototypes and collaborate with engineers.

Skills

Strong analytical skills
Ability to read research papers

Education

Master's or PhD in Computer Science / Graphics / Vision

Tools

Python
C++
PyTorch
CUDA

Job description

Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.

We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.

About IEG Global

Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.

Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.

Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.

We are exploring 3D asset optimization for large-scale game environments. You will work on research and prototypes for mesh reconstruction, geometry simplification, and LOD/HLOD generation, with a focus on preserving important visual features within practical resource budgets.

Key Responsibilities
  • Research and prototype methods for mesh processing, geometry reconstruction, simplification, and quality evaluation.
  • Explore applications of differentiable rendering, image-based optimization, and learning-based geometry processing to LOD/HLOD generation.
  • Design experiments that compare visual quality, depth and silhouette accuracy, detail preservation, triangle counts, and computational cost.
  • Build reproducible prototypes and work with engineers to assess their practical value.
Requirements
  • Currently pursuing a master’s or PhD in computer science, computer graphics, computer vision, or a related field. Candidates with strong relevant project experience are also welcome.
  • Proficiency in Python or C++, with the ability to read research papers, build prototypes, and analyze results independently.
  • Experience in at least one of the following: 3D geometry processing, real-time rendering, computer graphics, computer vision, or machine learning.
  • Curiosity about open research problems and a willingness to investigate and iterate based on experimental evidence.
Nice to have
  • Experience with differentiable rendering, mesh simplification, 3D reconstruction, neural representations, or generative AI.
  • Familiarity with PyTorch, CUDA, Unreal Engine, or other 3D development tools.
  • Experience using AI tools in research or development while independently validating the results.
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