Senior HPC Cloud Engineer
NVIDIA · Posted Oct 13
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's HPC Infrastructure team designs, evaluates, and optimizes the compute infrastructure that powers NVIDIA's next-generation silicon design and AI workloads, spanning public cloud and on-premises data centers across multiple global sites. The team works on large-scale compute clusters, cloud provisioning, infrastructure automation, and batch scheduling for VLSI and EDA workloads. This role serves as the primary architecture reviewer and performance champion, owning cluster bring-up and day-to-day operations on Google Cloud and extending the same toolchain to new on-premises data centers.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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