Neural Graphics Engineer

at NVIDIA · Industrial · Santa Clara, CA

NVIDIA is seeking a Neural Graphics Engineer to work on technologies at the intersection of AI and real-time rendering. The role involves implementing and optimizing neural graphics techniques, prototyping neural rendering and generative 3D approaches, and contributing to the graphics software stack. Experience with C++, Python, computer graphics, and machine learning is required, with a preference for hands-on experience in neural rendering or generative AI for 3D content.

What you'd actually do

  1. Implement and optimize neural graphics techniques within real-time rendering pipelines
  2. Prototype neural rendering, differentiable graphics, and generative 3D approaches
  3. Collaborate across teams to move ideas from concept to production
  4. Contribute to our graphics software stack, including compilers, shaders, and runtime tools

Skills

Required

  • C++
  • Python
  • computer graphics
  • machine learning
  • computer vision

Nice to have

  • neural rendering
  • NeRF
  • Gaussian splatting
  • differentiable rendering
  • generative AI for 3D content
  • PyTorch
  • real-time rendering engines
  • graphics APIs
  • Vulkan
  • OpenGL
  • DirectX
  • shader programming
  • Slang
  • HLSL
  • GLSL
  • compiler development

What the JD emphasized

  • real-time rendering pipelines
  • neural rendering
  • differentiable graphics
  • generative 3D approaches
  • graphics APIs
  • shader programming
  • compiler development

Other signals

  • neural graphics techniques
  • real-time rendering pipelines
  • neural rendering
  • differentiable graphics
  • generative 3D approaches
Read full job description

Computer graphics is experiencing its most exciting transformation in decades. Neural techniques are reshaping how we render, simulate, and create visual content in real time — and we're just getting started.

At NVIDIA, our Neural Graphics team builds technologies at the intersection of AI and real-time rendering. We reach millions of developers and creators through products like Alpasim, open platforms like Slang, our shader language and compiler for portable GPU programming. We work on hard, meaningful problems with curiosity and collaboration — and we're looking for a Neural Graphics Engineer to grow with us. This is an opportunity to learn from some of the most accomplished people in graphics and AI, and to make a meaningful impact early in your career!

What You'll Be Doing:

  • Implement and optimize neural graphics techniques within real-time rendering pipelines
  • Prototype neural rendering, differentiable graphics, and generative 3D approaches
  • Collaborate across teams to move ideas from concept to production
  • Contribute to our graphics software stack, including compilers, shaders, and runtime tools

What We Need to See:

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent experience)
  • At least 2-4 years od practical experience and demonstrated ability in C++ and Python
  • Coursework or project experience in computer graphics, machine learning, or computer vision
  • A drive to learn, grow, and take on challenging problems

Ways to Stand Out from the Crowd:

  • Hands-on experience with neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D content
  • Experience with PyTorch and real-time rendering engines
  • Familiarity with graphics APIs (Vulkan, OpenGL, DirectX), shader programming (Slang, HLSL, GLSL), or compiler development

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.