Requirements:

MS or PhD in Computer Science, Computer Engineering, or related field with 5+ years of experience in computer graphics, computer vision, or machine learning
Current with the latest research on 3D reconstruction and generative models
Record of developing high-quality Python code in large software projects
Proficient with modern ML Python libraries such as PyTorch or TensorFlow
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

Nice to Haves:

Publication record at top-tier ML and computer vision conferences such as CVPR, ICCV, or NeurIPS (or significant patent filings)
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, autonomous vehicles, or robotics

Develop and productize state-of-the-art solutions for neural rendering and generative models to push the limits of real-world simulations
Partner with our researchers to develop and evaluate model prototypes
Adapt and fine-tune generative models for rendering extreme novel views of previously recorded robotic sensor data
Collaborate within a large and dynamic codebase building robust data and ML workflows
Closely collaborate with research, model development, performance, and product teams
Contribute to NVIDIA NuRec and other core NVIDIA products and libraries

Diverse, supportive environment where everyone is inspired to do their best work
Opportunity to work at the forefront of AI and computer vision
Contribute to pushing the boundaries of what can be done in AI and computer vision
Equal opportunity employer that values diversity and offers accommodation for individuals with disabilities