Introduction

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

Our team is at the forefront of generative models and 3D reconstruction, specifically leveraging Neural Reconstruction for enabling Physical AI. We develop and optimize groundbreaking software to bring the real world into simulation. We are a multidisciplinary group with expertise in generative models, 3D reconstruction, software engineering, advanced algorithms, and high-performance computing, enabling Physical AI development for research and industry.

What you'll be doing:

• Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques.
• Optimize the reconstruction training and rendering runtime towards speed of light.
• Contribute to a large codebase, combining Python and CUDA.
• Close collaboration with experienced engineering and research team members.
• Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.
• Publish and present results in internal or external conferences and articles.

What we need to see:

• Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning.
• Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models.
• Proven experience with Python and Pytorch as well as CUDA/Slang.
• Strong experience in robotic systems such as autonomous vehicles or humanoid robotics.
• Good software engineering fundamentals (source control, testing/validation, containerization).
• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product- and research-focused team.

Ways to stand out from the crowd:

• Strong coding architecture skills showed by contributing to large internal or open source projects.
• Experience with performance analysis and optimization, particularly for GPU-accelerated workloads is a plus.
• Experience with advanced CUDA development and optimization for graphics or vision applications.
• History of multi-disciplinary creativity and innovation (for instance, experience with hardware + software projects in graphics or robotics).

We offer

Germany, Munich

Full time

2025-11-14

Posted Yesterday

JR2007354

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.

Contact

If you're creative and autonomous, we want to hear from you!

Applications will be accepted until:November 29, 2025 .

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.