Requirements:

MSc or PhD in Computer Science, Computer Engineering, or related field with focus on computer graphics, computer vision, or machine learning, or equivalent experience.
Experience with 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 ability to work effectively in dynamic, product- and research-focused team.

Nice to Haves:

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.
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.

Develop and integrate innovative neural rendering approaches to expand real-world simulations to novel Physical AI areas such as healthcare and smart infrastructure.
Partner with researchers to develop and evaluate prototypes of 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.