Own the technical design, deployment, and operational reliability of Fluidstack's bare-metal clusters across all production sites, covering compute, storage, and networking infrastructure.
Lead the Infrastructure Engineering organization, comprising Networking Engineers, Compute Systems Engineers, and Storage Engineers, with high standards for technical depth, deployment velocity, and on-call reliability.
Drive cluster architecture decisions for current-generation GPU systems (NVIDIA, AMD, and other XPUs), including server configuration, frontend and backend fabric design, storage topology, and rack power and cooling envelope.
Coordinate with Supply Chain on OEM relationships, hardware specifications, and delivery timelines to ensure the physical infrastructure roadmap stays one step ahead of customer commitments.
Partner with Data Center Operations on new site bring-ups, ensuring smooth handoff from civil and MEP completion through network cabling, hardware racking, burn-in, and customer acceptance testing.
Work with Software Engineering and SRE to define infrastructure requirements for managed Kubernetes, SLURM, and inference serving, ensuring the physical layer meets the demands of the software stack.
Build and maintain deployment tooling, burn-in automation, and hardware lifecycle management systems that enable your team to operate at a pace and reliability level that sets Fluidstack apart.
Stay hands-on: participate in design reviews, be present for critical cluster bring-ups, and engage directly with complex infrastructure failures to maintain technical credibility with your team and across the organization.
Travel as needed to data centers, OEM facilities, customer sites, and industry events to stay close to the hardware, the partners, and the market.
Coordinate with Finance on infrastructure CapEx planning and cost modeling, with Security on hardening and compliance requirements, and with Sales on pre-sales technical diligence and capacity commitments to customers.

Requirements

10+ years of infrastructure engineering experience, with at least 3 years in a technical leadership role managing a team of systems, networking, or storage engineers.
Demonstrated ownership of the design, deployment, and operation of a 10,000+ GPU cluster using a recent-generation accelerator (Blackwell, Hopper, or equivalent XPU), from physical hardware bring-up through production steady-state.
On-site, hands-on experience physically deploying hardware in data centers, with a clear sense of what it takes to execute a fast, reliable cluster bring-up.
Deep expertise in high-performance networking for AI workloads: InfiniBand (XDR/NDR) or RoCEv2 fabric design, large-scale BGP and ECMP architectures, and switch and cable plant management.
Strong working knowledge of GPU server hardware internals: NVLink and PCIe topology, NVMe configurations, BMC and firmware management.
Experience with high-performance parallel and distributed storage systems for AI training workloads, such as DDN/Lustre, WekaFS, VAST, and open source solutions.
Exceptional written and verbal communication skills, with the ability to translate between deep technical detail and high-level summaries for engineering, executive, and customer audiences.

Benefits

Competitive total compensation package (salary + equity).
Retirement or pension plan, in line with local norms.
Health, dental, and vision insurance.
Generous PTO policy, in line with local norms.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

infrastructure engineeringtechnical leadershipGPU cluster designhardware deploymenthigh-performance networkingInfiniBandRoCEv2BGPECMPparallel and distributed storage systems

Soft Skills

communication skillsteam managementtechnical credibilitycollaborationproblem-solvingorganizational skillscustomer engagementleadershipstrategic planningadaptability