hirly

NVIDIA

Senior AI Infrastructure Engineer - DGX Cloud

India, Bengaluru

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at NVIDIA first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
5 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on NVIDIA's site ↗

Listed on hirly, a job board. hirly is not the employer: NVIDIA is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job