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About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve…
Lead capacity planning and yield management for Nscale's GPU compute infrastructure, building mathematical models to allocate physical hardware between spot and reserved instances. Requires balancing volatile demand with rigid hardware constraints, partnering with Engineering, Supply Chain, and Sales to maximize utilization and margin across AI compute clusters.
Staff-level engineer who owns the technical direction of Nscale's Slurm-based HPC platform: designing scheduler and cluster lifecycle architecture, building automation and reusable patterns (Go/Python), and leading initiatives across multiple teams to integrate HPC with Kubernetes-adjacent, GPU cloud-native infrastructure.
A Senior Project Manager owns low-voltage deployment projects (structured cabling, copper/fiber) for Nscale's AI data centers from kickoff through turnover, managing schedules, budgets, contractors, QA/QC, and stakeholder reporting. Remote US-based, hands-on delivery role with 30–40% travel, using tools like Smartsheet/MS Project/P6 and Jira.
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…
Leads and scales Nscale's global editorial programs, shaping brand narrative and driving demand through strategic content creation and AI-enabled workflows.
Oversee the technical design and permitting of AI-optimized data centers across Europe, ensuring facilities meet high-performance standards for AI workloads while coordinating with cross-functional teams and external partners.
Senior SRE builds and maintains the reliability of Nscale's GPU cloud infrastructure for AI workloads, setting SLOs, automating systems, and mentoring the team.
Design and build scalable data pipelines and models for an AI-focused GPU cloud platform, using Palantir Foundry and Python to enable real-time analytics and customer insights.
Design and build scalable data pipelines and models for an AI-focused GPU cloud platform, using Palantir Foundry and Python to enable real-time insights and operational reliability.
Legal Counsel in New York structures and executes debt financing deals for AI infrastructure projects, partnering with Treasury and leadership to negotiate contracts and manage lender requirements.
Leads day-to-day operations of Nscale's GPU-powered AI cloud data centers across US regions, ensuring reliability, safety, and compliance while scaling infrastructure to support rapid growth.
The Senior Observability Platform Engineer will design and scale observability systems for Nscale's GPU cloud infrastructure. The role involves building metrics, logging, and tracing pipelines to support AI/ML workloads using tools like Prometheus, Grafana, and OpenTelemetry.
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