Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Build and own Fleet Manager, a Python-based platform that automates provisioning, testing, and remediation of GPU nodes and network switches at scale for Nscale’s AI GPU cloud.
About the Role (Job Purpose) The Director, HPC Systems Engineering is accountable for the strategy, execution, and organisational effectiveness of Nscale’s HPC systems engineering function. This role operates at…
A senior technical authority owning Nscale's high-performance Ethernet front-end networks for AI GPU clusters — designing large-scale leaf-spine/Clos fabrics on NVIDIA Cumulus, Arista EOS, and Nokia platforms, handling DCI/long-haul optics and storage networking, and driving reliability and incident improvements across teams.
Senior Network Engineer designing, deploying, and operating high-speed Ethernet data center fabrics, WAN/long-haul connectivity, and front-end networking for a GPU cloud, using BGP, EVPN, VXLAN, and Python/Bash automation.
Nscale, a GPU cloud provider for AI workloads, is hiring a Site Reliability Engineer to build automation and tooling, define SLOs/SLIs, join the on-call incident rotation, and troubleshoot reliability issues across Linux, networking, and distributed systems. Core stack includes Python or Go, monitoring/observability tooling, and optionally Kubernetes and high-performance networking (InfiniBand, RD
Principal Network Engineer designs and maintains high-speed Infiniband/RDMA fabrics for an AI-focused GPU cloud, ensuring reliability and performance for AI workloads.
Build and maintain the control plane and automation for AI/HPC infrastructure, including GPU fleet provisioning, network operations, and observability to improve system availability and reduce costs.
Staff engineer building and operating Kubernetes-native software (controllers, operators, CRDs) that connect AI applications with networking components on GPU-backed infrastructure, primarily using Go and Kubernetes internals.
Senior Product Manager owning the network and fleet-operations software that keeps Nscale's global GPU AI cloud running — spanning provisioning, fleet health/telemetry, and incident/repair workflows. Day to day, partners with engineering, SRE, and support on roadmaps and reliability metrics; core tech includes GPU interconnects (InfiniBand/RoCE), observability, and bare-metal provisioning tooling.
A staff-level software engineer who designs, builds, and operates Kubernetes-native software (controllers, operators, CRDs, webhooks) connecting AI applications with networking components on Nscale's GPU cloud, while driving infrastructure architecture, observability, and technical leadership across teams.
Senior engineer on Nscale's platform team building and operating the shared cloud-native foundation of its GPU cloud for AI, including Kubernetes cluster operations, deployment workflows, observability, and automation used by internal teams to run AI workloads. Core stack: Kubernetes, Linux, networking, Go/Python/Bash, CI/CD and GitOps.
Principal Network Engineer designing and operating Nscale's AI-optimised network infrastructure—InfiniBand, RoCE, and high-performance Ethernet fabrics—using Python, Ansible, and IaC tooling in UK data centres.
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…
Oversees AI/HPC infrastructure operations, ensuring GPU fleet and network stability at scale; bridges engineering and business goals via program leadership, metrics, and cross-functional coordination.
Lead physical security deployment programs for new data center construction and campus expansions, coordinating across design, construction, operations, and customer teams to ensure security requirements are met and facilities transition smoothly into service.
A principal-level engineer on Nscale's AI Infrastructure Operations team who defines how multi-thousand-GPU AI clusters are validated and tuned for production: building Python control-plane and burn-in tooling, running real distributed training/inference workloads, and debugging performance across GPUs, InfiniBand/RoCE fabrics, storage, and SLURM/Kubernetes schedulers.
Customer-facing presales role at Nscale, a GPU cloud built for AI workloads. The engineer supports the full sales cycle — technical qualification, demos, solution design, POCs, and onboarding — mapping customer AI/HPC requirements to Nscale's GPU cloud platform, with a stack spanning GPU compute, Kubernetes/orchestration, networking, and storage.
Founding member of Nscale's Platform Security program at a GPU cloud provider for AI. A hands-on assurance role performing deep security reviews of the IaaS platform — GPU compute, storage, virtual networking, Kubernetes, and Slurm — mapping architecture, threat modeling, testing tenant isolation, and partnering with platform engineering to land fixes.
. About the Role (Job Purpose) We are looking for a Data Center Solutions Architect to design and deliver end-to-end GPU infrastructure solutions. This role bridges customer requirements with deep technical design…
We couldn't check your fit for this role — add a CV to your profile to see it next time.