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# Senior High Performance AI Engineer, Agentic AI

- **Company:** NVIDIA Ltd.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Compilers, Nvidia CUDA, Programming Tools, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Reinforcement Learning, Rust (Programming Language), Graphics Processing Unit (GPU), High Performance Computing, Large Language Models, Multi-Agent Systems, Deep Learning, Gpu Programming, Information Technology, Virtual Agents
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6070e60858350771

## About the Role

* Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred.
 * 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas.
 * Hands-on experience in one or more of the following: agent systems, coding agents, reinforcement learning, or modern AI inference systems.
 * Strong C/C++, Rust, and Python programming skills, with solid software engineering fundamentals.
 * Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms, and the ability to work effectively across system boundaries.

Ways To Stand Out From The Crowd:

 * Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools.
 * Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine.
 * Deep expertise in GPU systems and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software.
 * Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems.

## Description

You will help develop intelligent agentic systems that can reason about, generate, optimize, and operate across NVIDIA's accelerated computing stack. This includes advancing model and agent capabilities, building scalable agent systems and runtimes, developing high-fidelity training and evaluation environments, and co-designing with NVIDIA's libraries, runtimes, compilers, and hardware. You will collaborate closely with internal NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products.

What you'll be doing:

 * Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
 * Build the data, environments, verification, reward, and evaluation systems needed to continuously improve model and agent capabilities.
 * Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs.


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