Lead Distributed AI Infrastructure Architect

NVIDIA; Germany (OH); On-site; USD 221,250 - 383,500; Full time

Job summary

A leading technology company is looking for a Senior HPC and AI Network Software Architect to build the next generation of scalable AI infrastructure. The role focuses on distributed training, real-time inference, and communication efficiency across large systems. Candidates should have a Ph.D. and over 5 years of experience in systems programming, with strong skills in C++, Python, and AI frameworks like TensorFlow. The position offers highly competitive salaries and a comprehensive benefits package.

Qualifications

• 5+ years experience in systems programming or large-scale data movement.
• Strong programming in C++, Python, and ideally CUDA.
• Extensive hands-on experience with AI frameworks like PyTorch and TensorFlow.

Responsibilities

• Build scalable software systems for distributed AI training.
• Develop communication capabilities tailored to AI workloads.
• Collaborate with AI framework teams to improve performance.

Skills

Systems programming

Parallel computing

Distributed computing

High-performance networking

C++

Python

CUDA

AI frameworks

Education

Ph.D. or equivalent

Tools

NCCL

UCX

UCC

Job description

A leading technology company is looking for a Senior HPC and AI Network Software Architect to build the next generation of scalable AI infrastructure. The role focuses on distributed training, real-time inference, and communication efficiency across large systems. Candidates should have a Ph.D. and over 5 years of experience in systems programming, with strong skills in C++, Python, and AI frameworks like TensorFlow. The position offers highly competitive salaries and a comprehensive benefits package.