Used Tools & Technologies
GenAIRequired Skills & Competences
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.
Python @ 5
Machine Learning @ 3
API @ 2
PyTorch @ 3
GPU @ 3
Generative AI @ 3
AI @ 3
Computer Vision @ 3
OpenGL @ 2
- 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 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, the Neural Graphics team builds technologies at the intersection of AI and real-time rendering. The team reaches millions of developers and creators through products like Alpasim, open platforms like Slang (shader language and compiler for portable GPU programming), and works on problems across graphics and AI.
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
Ways to Stand Out
- 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
Compensation and benefits
- Base salary ranges (location, experience, and comparables considered):
- Level 2: 124,000 USD - 195,500 USD
- Level 3: 152,000 USD - 241,500 USD
- Eligible for equity and benefits (see company benefits page)
Other information
- Applications for this job will be accepted at least until February 27, 2026
- NVIDIA uses AI tools in its recruiting processes
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment