Senior Solutions Architect – Simulation Solutions 3D Reconstruction

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
67 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $236k
$136k most similar roles pay here $304k

This role pays more than 85% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect – Simulation Solutions 3D Reconstruction

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NVIDIA is hiring a Senior Solutions Architect to join its cutting-edge team focused on developing advanced simulation and AI platforms for 3D Neural Reconstruction, Generative Video models, and Omniverse. In this role, you will collaborate with internal and external teams to drive technical innovation in areas such as inference optimization and autonomous simulation, providing hands-on engineering support through code samples and architecture diagrams. You will also develop deep expertise in NVIDIA’s Cosmos, Omniverse Platforms, NuRec, and related technologies by actively prototyping and integrating these tools. Additionally, you will advocate for partner needs within NVIDIA, influencing product roadmaps and supporting go-to-market activities to ensure seamless integration of AI solutions. The ideal candidate has a Master’s or Ph.D. in Computer Science or a related field, with extensive experience in autonomous systems, simulation, and generative AI, along with proficiency in Python and C++, and expertise in computer vision and 3D reconstruction technologies.

Skills

Python C++ GitLab Docker Kubernetes PyTorch JAX Linux CUDA NVIDIA_Omniverse NVIDIA_Cosmos NuRec Isaac_Sim Isaac_Lab Nsight_Systems Nsight_Compute 3D_Reconstruction Gaussian_splatting DevOps Deep_Learning Reinforcement_Learning Computer_Vision GPU_Optimization

What you'll do

  • Act as a technical advisor to partner teams on architecture and integration for NVIDIA’s platforms.
  • Develop deep expertise in NVIDIA technologies through hands-on prototyping and technical integration.
  • Define objectives and delivery plans for complex technical solutions with partners, contributing code samples and engineering support.
  • Create enablement resources like workshops and reference architectures to speed up technology adoption.
  • Advocate for partner needs within NVIDIA, providing feedback to influence product roadmaps and launches.
  • Guide research and implementation in 3D reconstruction technologies, integrating innovations into autonomous simulation pipelines.

What we're looking for

  • 8+ years of hands-on technical AI experience in autonomous systems or simulation.
  • Master’s or Ph.D. in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, or related field.
  • Expertise in Python and C++ programming with Linux software design and debugging.
  • Deep knowledge of computer vision, 3D reconstruction, and generative models.
  • Experience with DevOps tools (GitLab, Docker, Kubernetes) and DL frameworks like PyTorch.
  • Strong GPU optimization skills using Nsight Systems and CUDA programming experience.

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