NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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NVIDIA is at the forefront of AI, developing groundbreaking technologies that transform how we interact with the world. Our team is leading the charge in crafting and refining generative models, and 3D reconstruction technologies that enable Physical AI. We are a multidisciplinary group with expertise in machine learning, software engineering, advanced algorithms, and high-performance computing. This is an outstanding opportunity to join a group that is defining the future of AI and computer vision!

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What you'll be doing:

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• Develop and integrate innovative neural rendering approaches to expand our real-world simulations to novel Physical AI areas such as healthcare and smart infrastructure.
• Partner with our researchers to develop and evaluate prototypes of our latest models for generative video creation, segmentation, video understanding, tracking, 3d reconstruction, and more.
• Adapt and fine-tune generative models for rendering novel views.
• Collaborate within a large and dynamic codebase building robust data and ML workflows
• Close interaction with research, performance, and product teams.
• Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.

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What we need to see:

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• MSc or PhD in Computer Science, Computer Engineering, or a related field with a focus on computer graphics, computer vision, or machine learning, or equivalent experience.
• Experience with the latest research on 3D reconstruction and generative models
• Hands-on technical knowledge in training and optimizing models.
• Record of projects developed in Python and Pytorch.
• Strong software engineering fundamentals, including source control, testing/validation, and containerization.
• Excellent communication and interpersonal skills, with the ability to work effectively in a dynamic, product- and research-focused team.

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Ways to Stand Out from the Crowd:

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• Strong coding architecture skills demonstrated through contributions to large internal or open-source projects.
• Experience with performance analysis and optimization, particularly for GPU-accelerated workloads.
• Experience with advanced CUDA development and optimization for graphics or vision applications.
• A history of multidisciplinary creativity and innovation, such as experience with hardware and software projects in graphics or robotics.
• Experience in robotic systems such as autonomous vehicles or humanoid robotics.

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