Senior DGX Cloud AI Infrastructure Software Engineer

About this role

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and resiliency of AI workloads - pre-training, post-training, inference. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems.


As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a dynamic, diverse, and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now!


What You’ll Be Doing

• Develop infrastructure software and tools for large-scale pre-training, post-training, and inference.
• Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency.
• Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
• Enhance infrastructure and products underpinning NVIDIA's AI platforms.
• Define meaningful and actionable reliability metrics to track and improve system and service reliability.
• Skilled in problem-solving, root cause analysis, and optimization.
• Root cause and analyze and triage failures from the application level to the hard...