Senior High-Performance AI Engineer: GPU Agent Systems

NVIDIA Corporation; Redmond; Presencial; AUD 265 000 - 513 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Benefits

Resumo da oferta

NVIDIA Corporation in Redmond, WA is seeking a Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. You will design agentic runtimes and collaborate with software and hardware teams to accelerate AI workloads.

The role requires 8+ years in AI systems, strong C/C++ and Python skills, and hands-on GPU optimization experience. You will contribute to evaluation frameworks and cross-stack collaboration across AI workloads.

Qualificações

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

Responsabilidades

• 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.

Conhecimentos

C/C++

Python

GPU programming

AI systems

CUDA

Formação académica

Bachelor's degree in CS/EE or related

MS or PhD preferred

Ferramentas

CUDA

Descrição da oferta de emprego

NVIDIA Corporation in Redmond, WA is seeking a Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. You will design agentic runtimes and collaborate with software and hardware teams to accelerate AI workloads.

The role requires 8+ years in AI systems, strong C/C++ and Python skills, and hands-on GPU optimization experience. You will contribute to evaluation frameworks and cross-stack collaboration across AI workloads.