Develop and adapt Deep Learning-based methods for NuRec world reconstruction, novel view synthesis, generative image and video modeling, scene completion, and neural rendering
Apply your extensive knowledge of Deep Learning tools and methods, 3D Computer Graphics, Computer Vision, and simulation
Prototype experimental solutions with Python, PyTorch, modern DL frameworks, and AI tools for fast RnD iteration
Improve the realism, consistency, and controllability of generated scenes, especially for viewpoints and trajectories beyond the originally captured sensor path
Build evaluation and agentic AI-assisted research workflows for quality triage, regression detection, experiment automation, and faster model iteration
Work with a team of researchers and developers to turn promising research results into robust, usable technology
What We Need to See:
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.
Strong knowledge of contemporary ML/DL algorithms and architectures along with hands-on experience addressing real world challenges using Deep Learning.
Solid grasp of contemporary methods in Computer Graphics, Computer Vision, neural rendering, or 3D reconstruction.
Solid understanding of Python and PyTorch.
Excellent math skills.
Strong work ethic: self-motivated and able to receive constructive feedback. Integrates well into work and is an excellent teammate. Shows a collaborative and cooperative attitude. Understands and appreciates schedules and deadlines.
Excellent oral and written communication skills.
Ways to Stand Out from the Crowd:
Publications in top-tier Machine Learning, Computer Vision, Graphics, or Robotics venues.
Experience with image/video generative models, world foundation models, 3D Gaussian Splatting, NeRFs, differentiable rendering, or feed-forward scene reconstruction.
Experience with autonomous systems, robotics, synthetic data generation, or closed-loop simulation.
Experience using agentic AI tools to accelerate research, experimentation, evaluation, or productization workflows.
Strong knowledge of C/C++/CUDA, software development, programming techniques.
Some travel may be required for conferences and other events (1 - 2 times per year)
Additional Information
NVIDIA is advancing the next phase of Physical AI by developing technologies that help robots, autonomous systems, and intelligent machines perceive, recreate, and operate within the world. 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. Fascinating and demanding work is assured!
Nvidia · Worldwide