Senior Software Architect - Deep Learning and HPC Communications

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. We are seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software for the GPU Communications Libraries and Networking team.

Key Responsibilities:

• Investigate opportunities to improve communication performance
• Design and implement new communication technologies
• Explore innovative solutions in HW and SW for next generation platforms
• Build proofs-of-concept and conduct experiments
• Use simulation to explore performance of large GPU clusters

Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience
• 5+ years of relevant experience
• Excellent C/C++ programming and debugging skills
• Experience with parallel programming models and communication runtimes
• Deep understanding of operating systems, computer and system architecture
• Solid fundamentals of network architecture and communication scaling
• Strong experience with Linux
• Ability to work in a multi-national, multi-time-zone environment

Preferred Skills:

• Expertise in CUDA programming and NVIDIA GPUs
• Knowledge of high-performance networks
• Experience with Deep Learning Frameworks
• Strong collaborative and interpersonal skills

This role offers an opportunity to advance the state-of-the-art in GPU communications, break performance barriers, and deliver innovative platforms for AI and HPC workloads.