Senior Infrastructure Support Engineer
Nscale
| Company | Nscale |
| Category | Engineering |
| Location | US |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 25 Feb 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Nscale
Nscale is the vertically integrated AI cloud engineered for AI. We own and operate the full stack — energy, data centres, GPU superclusters, orchestration, and AI services — delivering high-performance infrastructure to AI-native companies, enterprises, and governments across Europe and the US. We are deploying GPU capacity at hyperscale, operating some of the densest, most advanced AI infrastructure in the world.
At Nscale, our Support and Operations team plays a critical role in maintaining service availability, driving service reliability, and delivering rapid response to customer issues. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.
About the Role (Job Purpose)
Senior Infrastructure Support Engineers are the senior technical escalation point within Infrastructure Support, owning the health of Nscale's GPU fleets and the high-performance fabrics that connect them. This is a hands-on L2/L3 role operating at the intersection of GPU hardware, east-west networking, Linux, and data centre operations — acting as the operational bridge between Support, DC Operations, and Engineering.
You will:
Own complex, ambiguous problems end-to-end and make decisive calls in a results-driven environment, taking calculated risks where speed matters.
Communicate technical detail clearly, specifically, and concisely — to engineers, to customers, and to leadership. We treat communication quality as a core engineering skill, not a soft skill.
Influence without authority and build strong relationships with senior stakeholders across the business to get things done.
Grasp new technical concepts quickly, stay curious, and know which questions to ask to get up to speed fast.
Bring discipline and organisation: evidence-led investigations, accurate records, clean handovers.
Experience required: 6+ years in infrastructure, operations, or support engineering roles in production environments, including 2–3+ years hands-on with GPU, HPC, or large-scale data centre estates.
What You’ll be Doing (Responsibilities)
Join the Support duty rotation as a senior escalation point, collaborating with Infrastructure Engineering, CNPRE, Network Operations, and Product Engineering on incidents, investigations, and changes.
Diagnose and remediate GPU node faults across the full stack — driver, firmware, and hardware layers — from nvidia-smi/DCGM and XID/RAS analysis through BMC/Redfish and out-of-band management to physical fault isolation and vendor RMA.
Own east-west fabric health: run link-level diagnostics (mlxlink, ibdiagnet, or equivalent), isolate transceiver, optics, cabling, and switch-port faults, and validate topology across InfiniBand and RoCE/high-speed Ethernet fabrics.
Investigate data-path issues on high-performance storage platforms (e.g. VAST), including storage–network interactions across clients, mounts, VIPs, and routing.
Run structured, hypothesis-driven investigations; conduct root cause analysis for major incidents and drive long-term fixes to completion.
Author and execute changes in live customer environments with proper risk assessment, peer review, and backout plans.
Proactively improve dashboards, alerts, and runbooks to prevent repeat incidents; identify recurring patterns and convert them into problem records and automation.
Accurately record, update, and resolve tickets, keeping internal and external parties informed with clear customer-impact statements and evidence-rich notes that enable clean handover.
Design and implement automation scripts and small tools to reduce toil and human intervention.
Act as a key escal
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