Senior High-Performance AI Engineer – CUDA & Agentic Systems

NVIDIA; California (MO); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA is seeking outstanding Senior High Performance AI Engineers to advance agentic AI systems within the CUDA ecosystem. You will design, build, and optimize multi-agent architectures, tool use, and orchestration across the NVIDIA stack.

You will work with model, software, and hardware teams to push capabilities from training to deployment, including scalable runtimes and evaluation frameworks for AI at scale. Competitive base salary with equity and comprehensive benefits.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field; MS or PhD preferred.
• 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, HPC, or related areas.
• Hands-on experience in 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.

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

reinforcement learning

AI systems

Education

Bachelor's degree in Computer Science or Electrical Engineering

MS or PhD preferred

Tools

TRT-LLM

SGLang

vLLM

Transformer Engine

Job description

NVIDIA is seeking outstanding Senior High Performance AI Engineers to advance agentic AI systems within the CUDA ecosystem. You will design, build, and optimize multi-agent architectures, tool use, and orchestration across the NVIDIA stack.

You will work with model, software, and hardware teams to push capabilities from training to deployment, including scalable runtimes and evaluation frameworks for AI at scale. Competitive base salary with equity and comprehensive benefits.