Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 2
Computer Vision @ 3
GPU
GenAI
Generative AI @ 3
Machine Learning @ 3
OpenGL @ 2
PyTorch @ 3
Python @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Computer graphics is undergoing a major transformation as neural techniques reshape real-time rendering, simulation, and visual content creation.
NVIDIA's Neural Graphics team develops technologies at the intersection of artificial intelligence and real-time rendering. The team works on products such as Alpasim and open platforms such as Slang, a shader language and compiler for portable GPU programming.
Responsibilities
- 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 the graphics software stack, including compilers, shaders, and runtime tools.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, or equivalent experience.
- At least 2–4 years of 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.
Preferred Qualifications
- Hands-on experience with neural rendering, including NeRF, Gaussian splatting, or differentiable rendering, or with generative AI for 3D content.
- Experience with PyTorch and real-time rendering engines.
- Familiarity with graphics APIs such as Vulkan, OpenGL, and DirectX.
- Experience with shader programming using Slang, HLSL, or GLSL.
- Familiarity with compiler development.
Compensation and Benefits
The base salary is determined based on location, experience, and the pay of employees in similar positions. The base salary range is $124,000–$195,500 USD for Level 2 and $152,000–$241,500 USD for Level 3. The role is also eligible for equity and benefits.
Applications will be accepted at least until February 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.