About the job
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!
Responsibilities
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
Closely collaborating with research, model development, performance, and product teams.
Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.
Qualifications
Minimum
MS or PhD in Computer Science, Computer Engineering or a related field with 8+ years of job experience in computer graphics, computer vision, or machine learning, or equivalent experience.
Current with the latest research on 3D reconstruction and generative models
Hands-on technical knowledge in training and optimizing models.
Record of developing high quality Python code in large projects
Fluent with modern ML Python libraries such as PyTorch
Strong software engineering fundamentals, including source control, testing/validation, and containerization.
Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team.
Preferred
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.