Senior High-Perf AI Engineer — Agentic CUDA Equity

Thomas To; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

NVIDIA is seeking Senior High Performance AI Engineers to build agentic AI systems for the CUDA stack. You will work across training, architectures, runtimes, and evaluation frameworks, collaborating with software, model, and hardware teams to bring capabilities into NVIDIA products.

You will design, implement, and optimize agent architectures, tool use, and environments, with a strong emphasis on performance across GPUs and accelerators. Competitive salaries and equity offered.

Qualifications

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

High-performance computing

Agent systems

Education

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

MS or PhD preferred

Tools

CUDA

Job description

NVIDIA is seeking Senior High Performance AI Engineers to build agentic AI systems for the CUDA stack. You will work across training, architectures, runtimes, and evaluation frameworks, collaborating with software, model, and hardware teams to bring capabilities into NVIDIA products.

You will design, implement, and optimize agent architectures, tool use, and environments, with a strong emphasis on performance across GPUs and accelerators. Competitive salaries and equity offered.