Senior AI Engineer - CUDA-Powered Multi-Agent Systems

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

Job summary

NVIDIA in Santa Clara, CA is seeking an outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem, accelerating agent planning, tool-use, code generation, and other AI workloads.

You will collaborate with software and hardware teams to push the latest developments into NVIDIA products, working across the AI stack—from hardware through compilers and libraries.

Qualifications

• Bachelor's degree in CS, EE, or related field (MS/PhD preferred).
• 3+ years of AI systems development experience; hands-on with deep learning models and inference stacks.
• Strong C/C++ and Python; GPU programming and CUDA experience.

Responsibilities

• Design, build and optimize agentic AI systems for the CUDA ecosystem.
• Co-design solutions with software, hardware and algorithm teams; influence and adopt new capabilities.
• Develop reproducible evaluation frameworks covering performance, quality and developer productivity.
• Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving.

Skills

C/C++ programming

Python programming

GPU programming

Performance optimization

Education

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

Tools

CUDA

Job description

NVIDIA in Santa Clara, CA is seeking an outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem, accelerating agent planning, tool-use, code generation, and other AI workloads.

You will collaborate with software and hardware teams to push the latest developments into NVIDIA products, working across the AI stack—from hardware through compilers and libraries.