Visionary GPU Architect Intern: Optimizing Real-Time Rendering

2 days ago


Shanghai, Shanghai, China NVIDIA Full time

NVIDIA, a leader in the technology world, is seeking a highly skilled and innovative GPU Graphics Performance Architect Intern. As a member of our team, you will play a crucial role in delivering cutting-edge graphics architectures that set new standards for efficiency and performance.

We're looking for a talented individual with a strong background in computer science and a passion for real-time rendering techniques. Your expertise in D3D12, DX Machine Learning, DX, and Vulkan APIs will be instrumental in identifying performance issues and proposing innovative solutions to improve GPU architecture.

Your Key Responsibilities:

  • Investigate and study state-of-the-art real-time rendering techniques and their implementation on GPUs to optimize performance
  • Analyze the impact of various APIs on GPU performance and propose improvements to enhance overall system efficiency
  • Develop performance simulation models and simulation infrastructure to test new graphics units and architectural features
  • Design comprehensive test plans and execute tests to validate performance enhancements

Requirements and Qualifications:

  • Bachelor's degree in Computer Science or Electrical Engineering (Master's or Ph.D. preferred)
  • Excellent knowledge of computer graphics, computer architecture, and programming principles
  • Strong understanding of C++ and practical experience in software development

Why Join NVIDIA?

  • Competitive salary range: $120,000 - $180,000 per annum, commensurate with experience
  • Opportunity to work with a diverse team of innovators and experts in the field
  • Pursue your passion for real-time rendering and contribute to groundbreaking projects

About NVIDIA:

  • A forward-thinking company that empowers creatives and innovators worldwide
  • A global community of passionate individuals driving technological advancements
  • A workplace that fosters autonomy, collaboration, and continuous learning


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