Summary written by Jobs Hindustan from NVIDIA's advert and our data on 8,513 current jobs in India. How we check every job
At a glance
NVIDIA has an opening for Senior AI Infrastructure Engineer - DGX Cloud in Bengaluru. It is a full-time role in Data, AI & Analytics, asking for at least 5 years of experience, first listed on 5 November. The description mentions Kubernetes, Python, C++, Java, Linux and Terraform. NVIDIA has 165 other openings in India, 128 of them in Bengaluru. Across all employers on Jobs Hindustan there are 661 Data & AI openings in Bengaluru today; the typical one asks for 5 years.
Skills in this advert
How often each skill named in this advert appears across the 1,212 data & AI jobs we list in India today. Python is the most widely requested (54% of jobs), while Terraform is the least common (4%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on NVIDIA's Workday site on 5 November 2026 and checked it again 5 November at 3:05 pm IST. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Bengaluru. If you would need to move, ask whether relocation support is offered.
- Match the experience. The advert asks for at least 5 years of experience. If you are a little short, a close match on the skills in the advert can still get you shortlisted.
- Tailor your resume. Use the advert's own words, such as Kubernetes, Python and C++, wherever they are true for you. Our resume guide shows how.
- Know your notice period. If you are working now, recruiters will ask how soon you can join. Work out your last working day with our notice period calculator, and read our guide to notice periods and resigning.
- Understand any offer. The CTC in an offer letter is not what reaches your bank account each month. Our CTC to in-hand salary calculator gives a rough monthly figure, and our CTC guide explains each part.
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About hiring at NVIDIA
NVIDIA has 166 openings in India on Jobs Hindustan today across 5 cities. Most are in software & IT (86), hardware & VLSI (53) and data & AI (21). The biggest locations are Bengaluru (129), Pune (56) and Hyderabad (27). 8% of them can be done from home, and 2% are open to freshers or interns. We collect NVIDIA's jobs every day straight from its own careers system (Workday), never from job boards, agencies or consultants.
The employer's advert
This is NVIDIA's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NVIDIAHide the advert619 words
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
Jobs Hindustan copied this listing from NVIDIA's official careers site on 5 November 2026 and checked it again 5 November at 3:05 pm IST. NVIDIA never asks candidates for money. If anyone does, it is a scam.
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