Senior AI Infrastructure Engineer - DGX Cloud

IN01 NVIDIA Graphics Bengaluru; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

NVIDIA Corporation in Bengaluru seeks a Senior AI Infrastructure Engineer to design, build, deploy and operate large-scale AI training and inference platforms on cloud infrastructure. You will drive automation, performance analysis, and lifecycle management across multi-GPU clusters to ensure high reliability and uptime.

Join a team that emphasizes collaboration, ownership, and pioneering work in AI infrastructure, with opportunities to influence capacity planning and incident response in a

Qualifications

• BS degree in Computer Science or a related technical field.
• 5+ years of experience.
• Proven track record of driving projects and collaborating across teams.
• Experience with infrastructure automation and distributed systems design for large-scale cloud infra.
• Proficiency in Python, Go, C/C++, or Java.
• Strong knowledge of Linux, Networking, Storage, and Containers.
• Experience with Public Cloud, Infrastructure as Code (IaC) and Terraform.
• Distributed systems experience.

Responsibilities

• Design, build, deploy, and run internal tooling for large-scale AI training and inference platform.
• Conduct performance characterization on multi-GPU, multi-node clusters.
• Own the lifecycle of services from design through deployment and refinement.
• Maintain live services with monitoring of availability, latency and health; capacity management.
• Participate in on-call rotation and blameless postmortems.

Skills

Python

Go

C/C++

Java

Linux

Networking

Kubernetes

Terraform

OpenStack

Distributed systems

Education

Bachelor's degree in CS

Tools

Kubernetes

OpenStack

Slurm

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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hard‑working people in the world working for us. NVIDIA is leading the way in 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. NVIDIA is leading the way in 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 NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.