Senior Agentic AI Engineer for CUDA & HPC

NVIDIA; Austin (TX); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA in Austin, TX is seeking outstanding Senior High Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. You will work across the full stack—from training models to designing agent architectures and multi-agent workflows—to deploy scalable systems at scale.

Join a collaborative team that designs, optimizes, and evaluates agentic systems on NVIDIA GPUs, libraries, and runtimes.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or 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.

Responsibilities

• 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.

Skills

C/C++

Rust

Python

GPU programming

CUDA

Education

Bachelor's degree in CS/EE or related

MS or PhD preferred

Tools

TRT-LLM

SGLang

vLLM

Transformer Engine

Job description

NVIDIA in Austin, TX is seeking outstanding Senior High Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. You will work across the full stack—from training models to designing agent architectures and multi-agent workflows—to deploy scalable systems at scale.

Join a collaborative team that designs, optimizes, and evaluates agentic systems on NVIDIA GPUs, libraries, and runtimes.