Applied AI Researcher - World Reconstruction and Generation

NVIDIA NVIDIA · Semiconductors · Germany +3 · Remote

NVIDIA is seeking an Applied AI Researcher to work on NuRec-related research in world reconstruction and generation, developing and adapting Deep Learning-based methods for tasks like novel view synthesis, generative modeling, and neural rendering. The role involves prototyping with Python/PyTorch, building evaluation and agentic AI-assisted research workflows, and turning research into usable technology. Requires a PhD or MS with significant experience in ML/DL, Computer Graphics, Computer Vision, or 3D reconstruction, with strong Python/PyTorch skills.

What you'd actually do

  1. Develop and adapt Deep Learning-based methods for NuRec world reconstruction, novel view synthesis, generative image and video modeling, scene completion, and neural rendering
  2. Apply your extensive knowledge of Deep Learning tools and methods, 3D Computer Graphics, Computer Vision, and simulation
  3. Prototype experimental solutions with Python, PyTorch, modern DL frameworks, and AI tools for fast RnD iteration
  4. Improve the realism, consistency, and controllability of generated scenes, especially for viewpoints and trajectories beyond the originally captured sensor path
  5. Build evaluation and agentic AI-assisted research workflows for quality triage, regression detection, experiment automation, and faster model iteration

Skills

Required

  • Python
  • PyTorch
  • Deep Learning algorithms and architectures
  • Computer Graphics
  • Computer Vision
  • neural rendering
  • 3D reconstruction

Nice to have

  • image/video generative models
  • world foundation models
  • 3D Gaussian Splatting
  • NeRFs
  • differentiable rendering
  • feed-forward scene reconstruction
  • autonomous systems
  • robotics
  • synthetic data generation
  • closed-loop simulation
  • agentic AI tools
  • C/C++/CUDA
  • software development
  • programming techniques

What the JD emphasized

  • 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
  • Publications in top-tier Machine Learning, Computer Vision, Graphics, or Robotics venues

Other signals

  • Deep Learning-based methods
  • generative image and video modeling
  • neural rendering
  • agentic AI-assisted research workflows