Technical Lead – GPU Infrastructure

🔥 1 minute ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tether.to

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

₿ Crypto

💳 Fintech

💸 Finance

Crypto • Fintech • Finance

Tether. to is a leading digital asset company that pioneers the use of stablecoins in the blockchain space. As the most widely adopted stablecoin, Tether tokens are designed to be pegged 1-to-1 with fiat currencies, offering a stable digital asset option for users. The platform facilitates these token transactions across multiple blockchains, enhancing cross-border transactions while maintaining transparency with daily records of total assets and reserves. Tether's initiatives include educational programs promoting digital asset usage, especially targeting regions like the Middle East, Turkey, and the Philippines. Tether thus positions itself as a disruptor in the traditional financial system by enabling a stable, efficient method of handling transactions in the digital currency world.

📋 Description

• Own Cosmic AC platform architecture end to end, including architecture proposals and high- and low-level designs • Lead and line-manage approximately twelve distributed engineers across backend, frontend, DevOps, QA and documentation • Set engineering standards, conduct code and design reviews, manage release gates, hold one-to-ones, and provide growth and performance input • Design, build and operate a managed Slurm service for research users • Own controller and accounting, partitions and login nodes, node onboarding, driver and CUDA baselines, stalled-job and node-health detection, drain and autohealing, storage visibility, identity and isolation • Own Kubernetes cluster bootstrap and lifecycle on partner-provided bare metal • Implement and operate NVIDIA GPU Operator, Network Operator, VM-based GPU isolation with KubeVirt and VFIO, upgrades, backup, recovery and node replacement • Own managed inference architecture, multi-GPU and multi-node parallelism, autoscaling, request routing, endpoint reliability and confidential-compute-capable capacity • Establish metrics, logging, alerting and SLOs across the control plane, GPU fleet and application tiers • Lead incident response, post-incident reviews and a sustainable on-call model • Serve as primary technical interface to infrastructure partners and vendors • Convert requirements into written specifications and acceptance tests, run escalations to closure, and contribute to capacity planning and hardware sourcing • Translate research, model-training and product workloads into platform requirements and broker capacity when limited • Complete the platform team and set the technical bar for new engineers

🎯 Requirements

• Eight or more years of hands-on engineering experience • At least three years leading teams that build and operate infrastructure platforms • Bachelor's or Master's degree in computer science or engineering, or equivalent practical experience • Hands-on experience running Slurm at scale, including slurmctld, slurmdbd, partitions, QoS, priority, accounting, prolog and epilog, node health scripting, and upgrades with jobs running • Experience operating HPC or GPU training clusters for research users is ideal • Experience operating NVIDIA GPU fleets on bare metal, including driver and CUDA lifecycle, Fabric Manager, NVSwitch, DCGM, MIG, node burn-in and acceptance • Experience with InfiniBand, subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL performance issues • Deep Linux systems knowledge, including kernel modules, drivers, PCIe passthrough, vfio-pci, cgroups, namespaces, and performance tuning • Production Kubernetes operations experience, including control plane, upgrades, CNI, CSI, operators, custom controllers, and multi-tenancy • Experience with HPC storage and data movement, including VAST, Lustre, NFS, node-local NVMe caching, and distributing large model weights and datasets • Experience with Prometheus, Grafana, Loki or equivalents, SLOs, incident response, and post-incident reviews • Working fluency in JavaScript and Node.js sufficient to review and make architecture decisions on control-plane, CLI and worker services • Experience shipping a platform with real users, such as multi-tenant IaaS/PaaS or research computing service • People management across time zones, cross-track review, written architecture decisions, and ability to challenge partners or executives with reasons • Excellent written and spoken English • Ability to work from UTC through UTC+5:30 to overlap with Europe and India • Occasional travel to partner sites and team events

🏖️ Benefits

• Fully remote work arrangement • Occasional travel to partner sites and team events • Global, distributed team environment • Opportunity to work on innovative digital finance, GPU infrastructure, AI and blockchain platforms