Senior High-Performance AI Engineer — Multi-Agent, CUDA

NVIDIA Corporation; Texas; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. You will design and optimize agentic AI runtimes, collaborate across software and hardware teams, and develop evaluation frameworks to measure performance, quality and productivity.

The role requires a BS in CS/EE (MS/PhD preferred), 8+ years in AI systems development, strong C/C++ and Python, and GPU programming with CUDA.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• 8+ years of industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
• Proficiency in C/C++ and Python; solid software engineering fundamentals.
• Experience with GPU programming and performance optimization (CUDA or equivalent).

Responsibilities

• Design, build and optimize agentic AI systems for the CUDA ecosystem.
• Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
• Develop reproducible, high-fidelity 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—and with model/agent teams.

Skills

C/C++ programming

Python programming

AI systems development

GPU programming

Education

Bachelor's degree in CS/EE

MS or PhD preferred

Tools

CUDA

Job description

NVIDIA Corporation is seeking a Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. You will design and optimize agentic AI runtimes, collaborate across software and hardware teams, and develop evaluation frameworks to measure performance, quality and productivity.

The role requires a BS in CS/EE (MS/PhD preferred), 8+ years in AI systems development, strong C/C++ and Python, and GPU programming with CUDA.