Sr. AI Infrastructure Engineer - DGX Cloud

NVIDIA Corporation; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

NVIDIA is seeking a Senior AI Infrastructure Engineer to join the DGX Cloud group. You will design, build, and maintain large-scale production systems using software and systems engineering practices to maximize reliability and uptime.

You'll work across Linux, networking, storage, containers, and cloud technologies such as Kubernetes and OpenStack, contributing to scalable, high-performance AI training and inference platforms.

Qualifications

• BS degree in Computer Science or related technical field with coding.
• 5+ years of experience.
• Strong track record of initiating and collaborating on projects.
• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.

Responsibilities

• Design, build, deploy, and run internal tooling for large scale AI training and inference 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 through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems
• Be part of an on call rotation to support production systems

Skills

Infra automation

Distributed systems

Python

Go

C/C++

Java

Linux

Networking

Terraform

Public Cloud

5+ years experience

Education

BS in CS or related field

Tools

Kubernetes

OpenStack

Job description

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 through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity


• Practice sustainable incident response and blameless postmortems


• Be part of an on call rotation to support production systems

What We Need To See:

• BS degree in Computer Science or a related technical field involving coding (e. g. , physics or mathematics), or equivalent experience.


• 5+ years of experience.


• A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.


• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.


• Experience in one or more of the following: Python, Go, C/C++, Java


• In depth knowledge in one or more of Linux, Networking, Storage, and Containers Technologies


• Experience with Public Cloud and Infrastructure as a code (IAAC) and Terraform


• Distributed system experience

Ways to stand out from the crowd:

• Interest in crafting, analyzing and fixing large-scale distributed systems.


• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.


• Ability to debug and optimize code and automate routine tasks.


• Experience in using or running large private and public cloud systems based on Kubernetes or Slurm.