Senior AI Systems Engineer - High-Performance CUDA

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation is seeking a Senior High Performance AI Engineer to build and optimize agentic AI systems within the CUDA ecosystem. You will collaborate with software and hardware teams to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads.

The role requires a strong background in AI systems, C/C++ and Python, CUDA performance optimization, and experience with deep learning frameworks.

Qualifications

• 8+ years in AI systems development with agents or orchestration.
• Strong C/C++ and Python with solid software engineering fundamentals.
• Experience with GPU programming and CUDA performance optimization.

Responsibilities

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

Skills

C/C++

Python

Deep learning frameworks

CUDA GPU programming

Performance optimization

Education

Bachelor’s degree in CS/EE

MS or PhD preferred

Tools

CUDA

PyTorch

TensorFlow

Job description

NVIDIA Corporation is seeking a Senior High Performance AI Engineer to build and optimize agentic AI systems within the CUDA ecosystem. You will collaborate with software and hardware teams to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads.

The role requires a strong background in AI systems, C/C++ and Python, CUDA performance optimization, and experience with deep learning frameworks.