Jobs / United States / Nvidia Corporation
Senior HPC Cluster Administrator - Deep Learning Frameworks Infrastructure
Nvidia Corporation · 🇺🇸 4 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles1 certified filing for “Senior Deep Learning Architect” (Electrical Engineers) in TX: $184k–$184k, median $184k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
NVIDIA's Deep Learning Frameworks (DLFW) Infrastructure team is looking for a deeply technical Senior HPC Cluster Administrator to lead the design, deployment, and reliability of our large-scale GPU compute clusters. These systems run the most demanding deep learning training, inference, and high-performance computing workloads in the industry — from DGX/HGX platforms to ground-breaking Grace Blackwell systems. You will drive architectural decisions across compute, networking, and storage, and partner closely with software, research, and product teams to keep our infrastructure ahead of the workloads it supports. What you'll be doing: • Own the full lifecycle of GPU compute clusters — procurement, provisioning, configuration management, monitoring, and deprecation — across heterogeneous Linux environments (DGX, HGX, embedded systems) • Design and scale storage solutions (NFS, Lustre, WekaFS, or equivalent) with a clear roadmap for capacity and performance growth • Lead automation of infrastructure using modern IaC tools (Ansible, Terraform) and CI/CD pipelines (GitLab) • Manage and optimize job scheduling via Slurm, including fair-share policies, reservation management, and MIG/GPU partitioning strategies • Maintain and improve observability stacks (Prometheus, Grafana, DCGM) and drive proactive resolution of hardware and software incidents • Collaborate with ML engineers and software teams to tune cluster configuration for large-scale distributed training workloads • Evaluate and introduce new technologies — networking fabrics (InfiniBand, NVLink, EFA/RDMA), storage tiers, container runtimes — to improve performance and reliability • Mentor junior engineers and contribute to team-wide engineering standards What we need to see: • BS/MS in CS, EE, CE, or equivalent hands-on experience • 5+ years of experience deploying and administering large-scale HPC or ML training clusters • Deep expertise in Linux systems administration at scale • Strong scripting and automation skills in Python and/or bash • Hands-on experience with Slurm (scheduling, accounting, cgroup configuration) • Proficiency with configuration management and IaC (Ansible required; Terraform a plus) • Experience with container technologies (Docker, Apptainer/Singularity, Kubernetes) • Solid understanding of high-speed networking (InfiniBand, RoCE, RDMA, EFA) • Experience with distributed/parallel filesystems and storage architecture • Ability to own problems end-to-end and communicate clearly with engineering and management stakeholders Ways to stand out from the crowd: • Experience with NVIDIA GPU infrastructure tools (DCGM, nvidia-smi, MIG, NVSwitch diagnostics) • Familiarity with cluster management platforms (Colossus, Bright Cluster Manager, xCAT, or similar) • Experience supporting large-scale distributed deep learning workloads (PyTorch, JAX, Megatron) • Knowledge of BMC/IPMI/Redfish for out-of-band management and hardware lifecycle • Background in MLOps tooling or ML platform engineering Join our team of world-class engineers and be part of the groundbreaking work we do at NVIDIA. We are committed to encouraging a collaborative and inclusive environment, where every team member has the opportunity to thrive and make a significant impact! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.