Senior System Software Architect, HPC and AI Networking

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we lead in artificial intelligence, driving advances in natural language processing, computer vision, autonomous systems, and scientific research. We are looking for a forward-thinking HPC and AI Inference Software Architect to help shape the future of scalable AI infrastructure—focusing on distributed training, real-time inference, and communication optimization across large-scale systems. 

Join our world-class team of researchers and engineers building next-generation software and hardware systems that power the most demanding AI workloads on the planet. 

What you will be doing: 

• Design and prototype scalable software systems that optimize distributed AI training and inference—focusing on throughput, latency, and memory efficiency. 

• Develop and evaluate enhancements to communication libraries such as NCCL, UCX, and UCC, tailored to the unique demands of deep learning workloads. 

• Collaborate with AI framework teams (e.g., TensorFlow, PyTorch, JAX) to improve integration, performance, and reliability of communication backends. 

• Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. 

• Contribute to the evolution of runtime systems, communication libraries, and AI-specific protocol layers. 

• Collaborate with customers to understand their needs and provide innovative solutions for them.

  This is an excerpt. Read the full job description on Nvidia careers →