Senior AI Systems Engineer - GPU-Accelerated AI

NVIDIA; United States; On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an outstanding High Performance AI Engineer in the United States to build groundbreaking multi-agent systems for the CUDA ecosystem. You will design agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven solutions to accelerate AI workloads, collaborating with NVIDIA software and hardware teams.

The role requires a BS/MS/PhD in CS/EE, 3+ years in AI systems, strong C/C++, Python, CUDA experience, and a passion for high-performance computing.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
• 3+ 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

Performance optimization

Deep learning frameworks

Education

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

MS or PhD preferred

Job description

NVIDIA is seeking an outstanding High Performance AI Engineer in the United States to build groundbreaking multi-agent systems for the CUDA ecosystem. You will design agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven solutions to accelerate AI workloads, collaborating with NVIDIA software and hardware teams.

The role requires a BS/MS/PhD in CS/EE, 3+ years in AI systems, strong C/C++, Python, CUDA experience, and a passion for high-performance computing.