Senior Systems Engineer - Interactive World Models & GPU

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 184,000 - 356,500

Full time

14 days+

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Job summary

NVIDIA in Santa Clara seeks an experienced software engineer to design, build, and optimize production-quality systems for world models, simulation, rendering, and real-time inference from prototype to release.

You will collaborate with research, simulation, rendering, robotics, and autonomous-vehicle teams to make technical tradeoffs, own complex modules, and push performance and reliability on NVIDIA GPUs. Experience with CUDA and PyTorch is required.

Qualifications

  • BS, MS, or PhD in CS, EE, Physics, or related field, or equivalent experience.
  • 8+ years of relevant software engineering experience.
  • Experience in world models, generative video, diffusion or flow-matching models, neural rendering, simulation, robotics, autonomous vehicles, CV, or large-scale ML systems.
  • Experience building and optimizing GPU-accelerated software with CUDA and PyTorch.
  • Engineering judgment with ownership of complex modules and cross-team projects.

Responsibilities

  • Design, build, and improve production-quality systems for world models, simulation, rendering, and real-time inference from prototype through release.
  • Connect generated worlds, reconstructed scenes, controllable simulation states, and evaluation loops into cohesive end-to-end systems, with focus on performance, quality, scalability, and reliability on NVIDIA GPUs.
  • Collaborate with research, simulation, rendering, robotics, and autonomous-vehicle teams to make technical tradeoffs and own complex modules or cross-team projects.

Skills

World models
Diffusion models
Neural rendering
Large-scale ML systems
Real-time inference
GPU optimization
CUD A
PyTorch
Robotics
Autonomous vehicles

Education

BS/MS/PhD in CS/EE/Physics or related

Tools

CUDA
PyTorch

Job description

NVIDIA in Santa Clara seeks an experienced software engineer to design, build, and optimize production-quality systems for world models, simulation, rendering, and real-time inference from prototype to release.

You will collaborate with research, simulation, rendering, robotics, and autonomous-vehicle teams to make technical tradeoffs, own complex modules, and push performance and reliability on NVIDIA GPUs. Experience with CUDA and PyTorch is required.

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