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Systems Integration Engineer 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…
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…
Senior network engineer responsible for designing, operating, and optimizing high-speed Ethernet fabrics that power AI inference, storage, and management workloads in a hyperscale GPU cloud environment.
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.
Job Description: We're looking for a Marketing Procurement & Vendor Operations Specialist to own everything vendor, contract and purchase order related across our global marketing function - and to automate as…
Owns availability engineering for Nscale's behind-the-meter power campuses serving AI data centers: building and maintaining RAM availability models (Monte Carlo/BlockSim and analytical), running the FMEA/FMECA program, shaping the reliability core of the digital twin, and directing RAM consultants across power and mechanical scopes.
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.
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.
Leads the architecture and reliability of high-performance Ethernet front-end networks for AI GPU clusters, focusing on Arista, Nokia, and Nvidia Cumulus platforms to support inference, storage, and long-haul traffic.
Lead the design and operation of Nscale's observability platform for GPU-based AI infrastructure, ensuring deep visibility into metrics, logs, and traces while partnering with SRE and AI teams.
Lead the architecture and evolution of Nscale's Slurm-based HPC systems, defining technical direction and cross-team standards for GPU cloud infrastructure.
Staff-level network engineer owning the reliability, architecture, and operations of Nscale's front-end Ethernet networks for AI GPU clusters — designing leaf-spine/Clos fabrics, serving as senior escalation point, and setting engineering standards. Core tech: Nvidia Cumulus, Arista EOS, Nokia, BGP/OSPF/EVPN-VXLAN, DCI/optical transport, with Python/Ansible automation.
Principal Systems Engineer in Singapore manages and operates bare-metal cloud infrastructure for AI workloads, handling hardware lifecycle, firmware, networking, and OS deployment across large-scale data centers.
About The Role We are seeking an Infrastructure Support Engineer with a passion for cloud infrastructure and open-source platforms to join our expanding System Engineering function. This role is pivotal in establishing…
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.
Staff-level AI engineer setting technical direction for Nscale's GenAI cloud inference platform — dedicated/serverless inference, bring-your-own-model deployments, and post-training services. Deep specialization expected in areas like KV cache/performance, GPU kernels (CUDA/Triton), evals, RL for LLMs, or serving engines (vLLM/SGLang), built on Python, PyTorch, and Kubernetes GPU clusters.
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.
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