Senior AI-Native Systems Software Engineer, TensorRT

Nvidia

Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $197k
$140k most similar roles pay here $265k

This role pays less than 60% of similar roles. Most pay $169,625–$236,900 — the shaded band above. At the midpoint, this role pays about $197k 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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View all roles at Nvidia

At a glance

TL;DR · Senior AI-Native Systems Software Engineer, TensorRT

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Join NVIDIA’s TensorRT team as a senior C++ engineer to lead an innovative initiative that leverages AI agents for large-scale software development. You will architect an AI-native framework, scale agentic workflows, and rapidly prototype with state-of-the-art models while ensuring seamless user experiences and extreme performance optimization. The role requires strong modern C++ skills, deep learning expertise, systems thinking, and the ability to translate customer needs into technical solutions efficiently. Experience with CUDA programming, high-velocity prototyping, and performance profiling is a plus. This initiative aims to redefine software development in the era of Generative AI by enabling unprecedented scalability and efficiency in producing high-performance C++ code for global inference use cases.

Skills

C++ CUDA Python LLMs Diffusion Multi-modal models Agentic framework experience Performance profiling CUDA programming High-velocity prototyping Clean code Maintainable code End-to-end product sense Collaborative mindset Systems thinking

What you'll do

  • Architect an AI-native framework supporting parallel work by large numbers of AI agents.
  • Scale development workflows using AI-native tools to enhance compute-to-software output ratios.
  • Rapidly prototype with state-of-the-art deep learning models and integrate new capabilities.
  • Ensure seamless, high-performance onboarding paths for the latest model families in production.
  • Optimize performance at the intersection of Python orchestration and C++ engine-level code.

What we're looking for

  • 4+ years of relevant software development experience in C++.
  • Strong proficiency with modern C++ standards (C++11/14/17) and STL.
  • Deep understanding of deep learning frameworks and model architectures.
  • Experience with AI agent orchestrators or custom agentic coding harnesses.
  • Ability to rapidly prototype state-of-the-art models into working software.
  • Expertise in performance profiling, analysis, and optimization for CPU/GPU.

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