Senior AI Engineer - High-Performance Agent AI (CUDA) Equity

Nvidia Corporation in

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

9 days ago
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Job summary

NVIDIA is seeking a Senior AI Engineer for High Performance AI (Finance) to design and optimize multi-agent AI systems within the CUDA ecosystem. The role emphasizes collaboration with software and hardware teams to accelerate agent planning, tool-use, and code generation across NVIDIA's software stack.

The candidate should have 3+ years in AI systems development, strong C/C++ and Python skills, and experience with GPU programming.

Qualifications

  • BA/BS in Computer Science, Electrical Engineering, or related field; MS/PhD preferred.
  • 3+ years of experience with AI systems development and practical exposure to foundational models, agents, or orchestration frameworks.
  • Strong C/C++ and Python programming skills with 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++
Python
GPU programming
Performance optimization
AI systems

Education

Bachelor's degree in CS/EE or related

Tools

CUDA
Compiler toolchains

Job description

NVIDIA is seeking a Senior AI Engineer for High Performance AI (Finance) to design and optimize multi-agent AI systems within the CUDA ecosystem. The role emphasizes collaboration with software and hardware teams to accelerate agent planning, tool-use, and code generation across NVIDIA's software stack.

The candidate should have 3+ years in AI systems development, strong C/C++ and Python skills, and experience with GPU programming.

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