Senior Software Engineer, Metropolis Vision AI

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Posted
49 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $290k
$148k most similar roles pay here $379k

This role pays more than 98% of similar roles. Most pay $170,000–$236,900 — the shaded band above. At the midpoint, this role pays about $290k versus about $203k 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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Metropolis Vision AI

As a System Software Engineer for Vision AI at NVIDIA, you will join a dynamic team building large-scale distributed platforms that power intelligent spaces and smart cities. Your role involves crafting high-performance vision systems using cutting-edge computer vision and deep learning models to process video, image, and 3D data in real-time scenarios across edge and cloud environments. You will collaborate with perception, simulation, and research teams to develop multi-modal capabilities and optimize GPU-accelerated inference pipelines for strict performance targets. Key skills include expertise in modern C++ (14/17/20), Python on Linux, computer vision, deep learning, and proficiency with PyTorch and GPU acceleration technologies like CUDA or TensorRT. Experience in simulation tools such as Omniverse and practical knowledge of video analytics applications are highly valued.

What you'll do

  • Develop high-performance Vision AI pipelines for real-time video and image processing.
  • Create large-scale distributed services to process multimedia data on edge and cloud platforms.
  • Integrate multi-modal perception capabilities combining 2D, 3D, and temporal information.
  • Use simulation tools to validate perception algorithms at scale in various environments.
  • Optimize GPU-accelerated inference pipelines for latency, efficiency, and reliability.

What we're looking for

  • 12+ years of professional software development experience using modern C++ and Python on Linux.
  • Strong background in computer vision and deep learning with proven production system deployment.
  • Expertise in building high-performance concurrent systems including multi-threading and efficient memory management.
  • Proficiency in PyTorch for training, fine-tuning, and deploying models for vision tasks.
  • Practical experience with GPU acceleration technologies like CUDA or TensorRT for inference optimization.
  • Experience in simulation and synthetic data creation using tools such as Omniverse or Unreal Engine.
  • Proven ability to deliver end-to-end computer vision applications in production environments.

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