Requirements:

MS or PhD in Computer Science, Computer Engineering, or a related field with a focus on computer graphics, computer vision, or machine learning.
Current with the latest research such as VGGT, DepthAnythingV3, SAM, CLIP, and LLAMA
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.

Ways to Stand Out from the Crowd:

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.

Partner with our researchers to develop and evaluate prototypes of our latest models for segmentation, video understanding, tracking, 3d reconstruction, and more.
Fine-tuning, quantizing, and deploying machine learning models for production.
Crafting tools for data handling, training, and model deployment at scale.
Optimizing the training and evaluation processes for maximum efficiency.
Collaborating in a large and dynamic codebase using modern data and ML languages.
Closely collaborating with research, model development, performance, and product teams.
Contributing to NVIDIA NuRec and other core NVIDIA products and libraries.