Senior AI Engineer: High-Performance Agentic Systems (CUDA)

NVIDIA; Town of Texas (WI); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks 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 to multi-agent architectures and runtimes—collaborating with NVIDIA's software, model, and hardware teams to bring capabilities into products.

You will design, build, and optimize agentic systems, environments, and evaluation pipelines, while co-designing with CUDA libraries, runtimes, compilers, and GPUs.

Qualifications

• Bachelor's degree or equivalent experience; MS/PhD preferred.
• 4+ years in AI systems, ML, compilers, HPC, or related fields.
• 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.
• Experience with GPU programming and performance optimization using CUDA or similar platforms.

Responsibilities

• Design, build, and optimize agentic AI systems for the CUDA ecosystem, including architectures and multi-agent workflows.
• 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

GPU programming

Performance optimization

Software engineering

Education

Bachelor's degree in Computer Science, Electrical Engineering, or related field

MS or PhD preferred

Tools

CUDA

TRT-LLM

SGLang

vLLM

Transformer Engine

Job description

NVIDIA seeks 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 to multi-agent architectures and runtimes—collaborating with NVIDIA's software, model, and hardware teams to bring capabilities into products.

You will design, build, and optimize agentic systems, environments, and evaluation pipelines, while co-designing with CUDA libraries, runtimes, compilers, and GPUs.