NVIDIA

NVIDIA

Posted via Workday

Senior AI-Native Systems Software Engineer, TensorRT

Posted Aug 5, 2026

Role at a glance

Salary
$152K – $287.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
4+ years of relevant software development experience.
Education
BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience.

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Role Summary

AI-generated

The NVIDIA TensorRT team is building an AI-native framework that uses AI agents to generate, test, and validate high-performance C++ software for out-of-framework inference. The role combines systems architecture, deep learning technology scouting, Python orchestration, and C++ engine optimization to improve model onboarding and inference performance across LLM, Diffusion, Audio, Vision, and multi-modal models.

What You'll Do

  • Design and build an architecture that supports large numbers of AI agents working in parallel to generate, test, and validate...
  • Develop AI-native tools, multi-agent orchestrators, and codebase harnesses for agentic development workflows.
  • Identify industry and academic breakthroughs and dispatch AI agent swarms to prototype and integrate them.
  • Deliver a high-performance path to production for the latest model families.
  • Optimize Python orchestration and C++ engine-level implementations for latency and throughput gains.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience; 4+ years of relevant software development experience; proficiency with modern C++ (C++11/14/17 or newer) and the STL; experience with modern inference frameworks and understanding of LLMs, Diffusion, and multi-modal models; ability to translate customer needs into technical requirements; demonstrated ability to deliver production-quality software; excellent communication skills.

Required

  • BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience
  • 4+ years of relevant software development experience
  • Modern C++ (C++11/14/17 or newer) and STL
  • Experience with modern inference frameworks
  • Understanding of LLMs, Diffusion, and multi-modal models
  • Ability to translate high-level customer needs into concrete technical requirements
  • Ability to deliver production-quality software on tight timelines
  • Excellent communication skills

Preferred

  • Hands-on work with AI agent orchestrators or multi-agent coding frameworks
  • Experience building custom agentic coding harnesses for production software
  • CUDA programming experience
  • Exposure to kernel generation or autotuning efforts
  • Rapidly turning state-of-the-art papers into working prototypes
  • Software performance analysis, profiling, and optimization using CPU and/or GPU tooling

Original job description

Content provided by the employer

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 - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.