Senior AI Infrastructure Engineer - DGX Cloud

NVIDIA Corporation; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior AI Infrastructure Engineer to design, build, and maintain large-scale AI training and inference platforms in a cloud infrastructure environment. You will work across software and systems engineering disciplines to ensure high availability, reliability, and scalable performance for GPU cloud services.

The role requires deep expertise in distributed systems, automation, and containerized environments, with hands-on work across Linux, networking, storage, and

Qualifications

• BS degree in Computer Science or a related technical field involving coding.
• 5+ years of experience.
• Experience balancing project initiation with collaboration on others' initiatives.
• Experience with infrastructure automation and distributed systems design for large-scale cloud systems.
• Proficiency in one or more: Python, Go, C/C++, Java.
• Deep knowledge of Linux, Networking, Storage, and Containers Technologies.
• Experience with Public Cloud and Infrastructure as Code (IaC) and Terraform.
• Distributed systems experience.

Responsibilities

• Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure.
• Conduct performance characterization and analysis on large multi-GPU and multi-node clusters.
• Engage in the full lifecycle of services from design to deployment and refinement.
• Support services before go-live through design consultation, tooling, capacity management, and launch reviews.
• Maintain services post-live by monitoring availability, latency, and health.
• Scale systems with automation and drive reliability improvements.
• Participate in blameless postmortems and on-call rotations.

Skills

Python

Go

C/C++

Java

Linux

Networking

Storage

Containers

Distributed systems

Cloud experience

Education

BS degree in Computer Science or related field

Tools

Kubernetes

OpenStack

Terraform

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. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. 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. If you're creative and self-motivated, we want to hear from you! 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