Senior Solutions Architect – Simulation Solutions 3d Reconstruction

Nvidia Corporation

CA, United States
Base: 184,000 usd - 287,500 usd (level 4); 224,000...
On-site
Ai platform development
3d neural reconstruction
Generative video models
Collaborate with internal and external teams to invent pioneering solutions for 3D Neural Reconstruction, Generative Video models, Omniverse

Job Summary

  • Collaborate with internal and external teams to invent pioneering solutions for 3D Neural Reconstruction, Generative Video models, Omniverse.
  • Operate as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI-enabled solutions.
  • Guide research and implementation in 3D reconstruction, integrating innovations like Gaussian splatting into autonomous simulation pipelines.

Matching Summary

Collaborate with internal and external teams to invent pioneering solutions for 3D Neural Reconstruction, Generative Video models, Omniverse.

Salary

Base: 184,000 USD - 287,500 USD (Level 4); 224,000 USD - 356,500 USD (Level 5); Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • AI platform development
  • 3D Neural Reconstruction
  • Generative Video models
  • Omniverse
  • autonomous simulation pipelines
  • Python and C++ programming
  • Linux environment
  • Deep Learning and Reinforcement Learning frameworks
  • computer vision and 3D reconstruction technologies

Nice-to-have

  • technical innovation
  • creative innovator
  • hands-on technical integration
  • technical enablement resources
  • influence product roadmaps
  • sharing knowledge

Key Requirements

  • Master’s or Ph.D. in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, or a related field (or equivalent experience)
  • 8+ years of hands-on experience in a technical AI role
  • emphasis on autonomous systems, simulation, or generative AI
  • solid software design and debugging experience
  • deep understanding of Autonomous Vehicle systems
  • Hands-on experience with DevOps tools and scalable distributed systems
  • Excellent communication, collaboration, and presentation skills

Work Rights

Not specified

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