NVIDIA · KA, India
Skills: Python, Java, Docker
NVIDIA is looking for an outstanding, passionate, and talented Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This role demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack. AI Infrastructure Engineer at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime and at the same time making changes to the existing system through careful preparation and planning while managing capacity and performance.
NVIDIA’s culture of diversity, intellectual curiosity, problem solving and openness is important to our success.
Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.
What You’ll Be Doing:
Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement. Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Scale systems sustainably thro…
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