[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/)

NVIDIA · India, Bengaluru

# Senior HPC Cloud Engineer

India, Bengaluru Full-time Senior individual contributor Operations 

Listed on NVIDIA’s official careers site. Posted October 13, 2026. Check that it is still open and apply there.
[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-HPC-Cloud-Engineer_JR2026768)

[OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior HPC Cloud Engineer

## Job description

NVIDIA is looking for an exceptional engineer to grow and thrive alongside our HPC Infrastructure team that designs, evaluates, and optimizes the compute inrastructure powering NVIDIA's next-generation silicon design and AI workloads. You will be the primary architecture reviewer and performance champion for new data center clusters being built across multiple sites globally.

### What you'll be doing

In this position, you will own the build-out and day-to-day operation of NVIDIA's VLSI high-performance compute environments in the public cloud, and the repeatable patterns that let us stand up the next environment faster than the last. Bring up and operate large compute clusters on Google Cloud end to end - instance provisioning, machine images, OS pipelines, networking, identity and quota management.

### Build the automation that makes cluster bring-up reproducible

infrastructure-as-code, configuration management, image build pipelines, and host lifecycle automation including hostname and identity preservation across maintenance events. Extend the same patterns to new on-premises data centers so cloud and on-prem run on one toolchain rather than two, and work with networking and storage teams on cross-site connectivity, latency budgets, and what is cross-mounted versus kept site-local.

This is a hands-on technical role. You will debug at depth when clusters misbehave - image and boot issues, mount failures, scheduler-host interactions, capacity and quota problems - and partner with the scheduling and operations engineers so what you build is operable by the whole team, not only by you.

### What we need to see

B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or equivalent experience. 8+ years in infrastructure engineering, with substantial time running production compute at scale. Deep, hands-on expertise with a major public cloud, Google Cloud preferred - compute, networking, IAM, storage, quotas, and the operational realities of running thousands of instances rather than tens. Strong infrastructure-as-code and configuration management skills (Terraform, Ansible, Puppet, or equivalent), plus experience with machine image build and OS lifecycle pipelines for large fleets.

### Solid Linux systems administration and troubleshooting

filesystems, NFS mounts and latency, networking, boot and image pipelines. Working understanding of data center and network fundamentals for compute-intensive workloads - topology, bandwidth and latency characterisation, and the practical limits of cross-site operation - along with familiarity with batch schedulers (LSF, Slurm, or equivalent) and how compute nodes join, leave and are managed within them. Strong Python automation, experience bringing a new environment, cluster or data center online end to end, and the ability to work effectively across time zones.

Semiconductor/EDA exposure is a plus, not a requirement.

## At a glance
- Posted by the employer: Oct 13, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 7 days
- Location: India, Bengaluru
- Employment type: Full-time[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-HPC-Cloud-Engineer_JR2026768)

## More jobs at NVIDIA

### [ASIC CAD Engineer, Clocks Methodology](https://jobs.opennash.com/companies/nvidia/jobs/7e0f948ddd5a0695fb53/)

India, Bengaluru

### [ASIC Verification Engineer](https://jobs.opennash.com/companies/nvidia/jobs/00f9e5d67b16d16b34ee/)

India, Bengaluru

### [ASIC Verification Engineer - Clocks](https://jobs.opennash.com/companies/nvidia/jobs/e7fd47918ff9c925f350/)

India, Bengaluru

## Similar jobs at other companies

### [AI Reliability Engineer, HPC](https://jobs.opennash.com/companies/microsoft/jobs/0df5c2e98402f0cd7153/)

Microsoft · United Kingdom, London

### [Senior Cloud HPC Engineer - Assistant Vice President](https://jobs.opennash.com/companies/citigroup/jobs/ff5c552c727a4b6b9bd6/)

Citigroup · Pune Maharashtra India

### [Intern HPC/Design Cloud](https://jobs.opennash.com/companies/keysight-technologies/jobs/eb09217bf8678adab5b3/)

Keysight Technologies · Gent, Belgium

### [Sr Tech Cloud & HPC Platform Engineer](https://jobs.opennash.com/companies/philip-morris-international/jobs/eced788d28bea960746a/)

Philip Morris International · Albarraque, Portugal

### [Principal Cloud Architect – HPC/GPU & AI Platform Solutions](https://jobs.opennash.com/companies/oracle/jobs/a0d02b632b29f1e76bf1/)

Oracle · United Kingdom

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)