# Senior AI-Native Systems Software Engineer, TensorRT at NVIDIA

NVIDIA is hiring a Senior AI-Native Systems Software Engineer, TensorRT in Santa Clara, United States. It pays $152k-$242k a year and Level rates it Builds AI ●●●●; you can [apply on NVIDIA](https://jobsbylevel.com/go/7493ef2f-339e-4c83-9f00-6788f9677604?utm_medium=ai-agent).

AI Level 4, AI centrality 92 out of 100. US, CA, Santa Clara.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 4 (score 92 out of 100)
- Location: US, CA, Santa Clara
- Salary: $152k-$242k
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/7493ef2f-339e-4c83-9f00-6788f9677604?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-native-systems-software-engineer-tensorrt-at-nvidia-d693b2

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-ai-native-systems-software-engineer-tensorrt-at-nvidia-d693b2

## Description

Are you passionate about redefining how software is built in the age of Generative AI? Join NVIDIA’s TensorRT team to help lead a first-of-its-kind, AI-native initiative designed to make TensorRT the default entry point for out-of-framework inference globally. We are moving beyond traditional development cycles with a new framework built from the ground up to leverage swarms of AI agents to produce high-performance, high-quality, modern C++ software at an unprecedented scale. If you are a systems-thinking C++ engineer who wants to help scale out an agentic development framework, stay on top of state-of-the-art deep learning breakthroughs, and improve users’ experience with lightning-fast model onboarding, we want to hear from you! What you'll be doing: Architecting an AI-native framework: Help design and build a codebase and architecture that scales beyond human capacity, supporting large numbers of AI agents working in parallel to generate, test, and validate production-grade software. Scaling through agentic workflows: Improve the ratio of compute-to-software output by adopting and building AI-native tools, multi-agent orchestrators, and codebase harnesses that keep humans focused on the highest-value work.. Rapid prototyping with SOTA models: Act as a technical scout, identifying industry and academic breakthroughs (e.g., new attention mechanisms, KV cache strategies) and dispatching AI agent swarms to prototype and integrate these capabilities into our framework. Delivering a great user experience: Ensure a seamless, high-performance path to production for the latest model families (LLMs, Diffusion, Audio, Vision and multi-modal models). Extreme performance optimization: Work at the intersection of Python orchestration and C++ engine-level optimizations to achieve major latency and throughput gains for critical customer use cases. What we need to see: BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience. 4+ years of relevant software development experience. Strong modern C++ skills: Proficiency with C++11/14/17 (or newer) and the STL, with an emphasis on clean, maintainable, performant code. Deep learning familiarity: Experience with modern inference frameworks and an understanding of the architectural nuances of LLMs, Diffusion, and multi-modal models. Systems thinking: Interest in how software architecture must evolve to support automated, agent-driven development and indefinitely scaling codebases. End-to-end product sense: Ability to translate high-level customer needs into concrete technical requirements and user-centric solutions. Pragmatic execution: Demonstrated ability to go from customer requests to production-quality software on tight timelines. Collaborative mindset: Excellent communication skills and comfort working across internal organizations and with customers. Ways to stand out from the crowd: Agentic framework experience: Hands-on work with AI agent orchestrators or multi-agent coding frameworks, or experience building custom agentic coding harnesses for production software. CUDA & kernel expertise: Experience with CUDA programming or exposure to kernel generation / autotuning efforts. High-velocity prototyping: A track record of rapidly turning state-of-the-art papers into working prototypes in days, not weeks. Performance profiling skills: Expertise in software performance analysis, profiling, and optimization (CPU and/or GPU), including using tooling to drive measurable wins. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and love a challenge, come join our team and help us build the future of high-performance AI inference technology! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD -

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-ai-native-systems-software-engineer-tensorrt-at-nvidia-d693b2

Source: https://jobsbylevel.com/jobs/senior-ai-native-systems-software-engineer-tensorrt-at-nvidia-d693b2

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-ai-native-systems-software-engineer-tensorrt-at-nvidia-d693b2.

Get job alerts: https://jobsbylevel.com/newsletter