Senior Agentic AI Engineer - High-Performance CUDA Systems

NVIDIA; Redmond (WA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA 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 systems, and building scalable runtimes and evaluation frameworks.

You will collaborate with NVIDIA's software, model, and hardware teams to bring new capabilities into products, with a focus on performance, reliability, and scalability for AI

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field; MS/PhD preferred.
• 4+ years of experience in AI systems, machine learning, compilers, HPC, or related areas.
• Hands-on experience with agent systems, coding agents, reinforcement learning, or modern AI inference systems.
• Strong C/C++, Rust, and Python programming skills with solid software engineering fundamentals.

Responsibilities

• Design, build, and optimize agentic AI systems for the CUDA ecosystem and related architectures.
• Develop data, environments, verification, reward, and evaluation systems to improve model and agent capabilities.
• Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models to GPUs.

Skills

C/C++

Rust

Python

Education

Bachelor's degree in CS/EE

Tools

TRT-LLM

SGLang

vLLM

Transformer Engine

Job description

NVIDIA 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 systems, and building scalable runtimes and evaluation frameworks.

You will collaborate with NVIDIA's software, model, and hardware teams to bring new capabilities into products, with a focus on performance, reliability, and scalability for AI