Description
We are seeking a passionate, world-class computer scientist to contribute as an Applied AI Researcher on NuRec-related research in world reconstruction and generation.
As an Applied AI Researcher, you will develop and adapt Deep Learning-based methods for NuRec world reconstruction, novel view synthesis, generative image and video modeling, scene completion, and neural rendering.
You will apply your extensive knowledge of Deep Learning tools and methods, 3D Computer Graphics, Computer Vision, and simulation to prototype experimental solutions with Python, PyTorch, modern DL frameworks, and AI tools for fast RnD iteration.
Your responsibilities will include improving the realism, consistency, and controllability of generated scenes, especially for viewpoints and trajectories beyond the originally captured sensor path.
You will also build evaluation and agentic AI-assisted research workflows for quality triage, regression detection, experiment automation, and faster model iteration.
In this role, you will work with a team of researchers and developers to turn promising research results into robust, usable technology.
The ideal candidate will have a PhD from a leading university in an engineering or computer science related field and 1+ years of experience, or MS (or equivalent experience) and 5+ years of relevant work experience.
You will need strong knowledge of contemporary ML/DL algorithms and architectures along with hands-on experience addressing real-world challenges using Deep Learning.
A solid grasp of contemporary methods in Computer Graphics, Computer Vision, neural rendering, or 3D reconstruction is also required.
You should have solid understanding of Python and PyTorch, excellent math skills, and strong work ethic.
Excellent oral and written communication skills are essential.
Some travel may be required for conferences and other events (1 - 2 times per year).
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.