Senior AI Systems Engineer - GPU-Accelerated Agents

NVIDIA Corporation; United States; 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 agentic AI systems within the CUDA ecosystem. You will design GPU-centric runtimes and orchestrations that accelerate agent planning, tool-use, and code generation, collaborating across software and hardware teams.

You will contribute to evaluation frameworks, performance optimization, and deployment of high-performance AI workloads, with equity and comprehensive benefits.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field; MS or PhD preferred.
• 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.
• Strong C/C++ and Python programming skills; 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

Deep learning

Performance optimization

Education

Bachelor's degree in CS/EE

MS or PhD preferred

Tools

CUDA Toolkit

GPU profilers

Job description

NVIDIA Corporation is seeking a Senior High Performance AI Engineer to build groundbreaking agentic AI systems within the CUDA ecosystem. You will design GPU-centric runtimes and orchestrations that accelerate agent planning, tool-use, and code generation, collaborating across software and hardware teams.

You will contribute to evaluation frameworks, performance optimization, and deployment of high-performance AI workloads, with equity and comprehensive benefits.