Top Tech Jobs & Startup Jobs

Build and run Fluidstack's early careers function: design university recruiting strategy, run full-cycle hiring for interns/new grads, create internship and new-grad programs, run campus/virtual events, screen for high potential, track pipeline metrics, and build hiring infrastructure, rubrics, and playbooks to scale early talent funnel.

Design, build, and maintain internal tools, automation, data pipelines, dashboards, and integrations. Develop scripts and applications to streamline operations, support engineering initiatives, debug and optimize systems, and translate business requirements into technical solutions while managing multiple projects and liaising with stakeholders.

Own procurement for data center mechanical category (CDUs, chillers, pumps, dry coolers, piping). Negotiate multi-year supply agreements, dual-source equipment, drive qualification of second sources, and coordinate specs with manufacturing and design to meet lead times and delivery schedules.

The Site Selection Manager will lead procurement for data center sites, conduct due diligence, maintain relationships with stakeholders, and negotiate leases.

Coordinate executive support (travel, meetings, ad-hoc requests), manage office operations (logistics, space planning, workplace technology), improve team experience (onboarding, perks, socials, onsites), lead culture initiatives across global hubs, and liaise with landlords, vendors, suppliers, and onsite candidates. Role requires full-time in-person presence.

Lead end-to-end R&D program plans for hardware and infrastructure: scope, sequencing, owners, and critical path from concept through prototype, qualification, and production handoff. Run NPI programs, coordinate design reviews, procurement, lab/test capacity, surface risks, drive cross-functional execution with manufacturing, supply chain, and deployment, and build leadership reporting while optimizing for velocity.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

Build and operate large-scale GPU compute fleet tooling: metrics pipelines, alerting, Redfish/BMC telemetry, repair/RMA automation, GPU qualification, and orchestration for Kubernetes and bare-metal deployments. Own reliability, scalability, incident response, and automation to minimize manual toil.

Model and track fleet capacity (power, space, cooling, compute), forecast constraints, connect deployment schedules to sellable capacity, run scenario analyses to inform allocation and deal decisions, and build executive-ready reporting.

Build AI-powered internal tools and shared AI infrastructure (agents and skills), integrate LLMs with internal systems, design and ship web applications, and enable cross-functional adoption through documentation and support.