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Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or…
Kan du forklare attention på en serviet, træne en transformer fra bunden, og bygge de evals, der afslører, om den faktisk virker? Og vil du bruge dine evner på noget, der virkelig betyder noget? Så har vi en mission,…
Kan du tage et uklart behov fra en kunde og selv forvandle det til software, der virker? Koder du i Rust, TypeScript, eller Python, og tænker du i platforme frem for enkeltløsninger? Så vil vi gerne have dig med til at…
Builds and operates the storage infrastructure feeding Prime Intellect's frontier AI platform — designing, deploying, and tuning parallel filesystems, object storage, and NVMe caching for training datasets, checkpoints, and model artifacts on scaling GPU clusters, with a focus on throughput, durability, and reliability.
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from…
Senior AI inference infrastructure engineer at Recho (Tokyo, hybrid) who independently designs and implements the inference framework for voice AI models and LLMs, optimizing throughput and GPU cost with Python, PyTorch, vLLM/SGLang, and Kubernetes/Slurm/Ray. English is the team language; annual pay ¥10M–¥20M.
Designs and leads CoreWeave’s Kubernetes-native AI workload orchestration platform, optimizing scheduling and resource management for large-scale GPU clusters using tools like Kueue and Volcano.
Designs and leads CoreWeave’s Kubernetes-native orchestration platform for AI workloads, including SUNK, while setting long-term architecture and mentoring senior engineers.
Senior systems engineer based in Munich building the control plane for bare-metal AI/GPU infrastructure: Kubernetes operators and CRDs, GPU cluster scheduling, and driver/fabric tuning for distributed LLM training. Core stack: Python, Linux internals, Kubernetes, NVIDIA GPU tooling, Terraform/Ansible.
Senior GPU Infrastructure Engineer About Civo: Civo is a high-performance neocloud provider purpose-built for the demands of modern AI, high-performance computing (HPC), and cloud-native infrastructure. We eliminate…
GPU Infrastructure Support Engineer About Civo: Civo is a high-performance neocloud provider purpose-built for the demands of modern AI, high-performance computing (HPC), and cloud-native infrastructure. We eliminate…
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Nebius is hiring a hands-on Offensive Security Engineer in Amsterdam to build and run its internal red team and penetration testing program against its AI cloud platform — attacking GPU infrastructure, Kubernetes, and the inference stack, researching novel exploits, and turning findings into measurable security improvements.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of…
Designs and operates the physical and computational infrastructure for a robotics startup in Prague — networks, servers, GPU compute, storage and backups that capture, ML and content teams rely on. Hands-on role spanning racking hardware, network segmentation, fault diagnosis and writing provisioning/monitoring tooling with Linux, bash and Python.
1、分布式训练平台：多卡分布式训练/续训微调场景工程支撑 2、推理服务：模型推理服务化/批量生成任务队列与调度 3、算力调度：训练与推理任务资源编排/成本控制与排队 4、依赖与许可证合规：梳理并会签关键依赖商用授权 1、多卡分布式训练与推理服务工程经验能解决显存/通信/断点恢复 2、会用主流调度工具(Slurm/Ray/Kubernetes之一) 【核心技能】 1、续训与微调的断点与数据版本管理 2、算力成本与排队公平性平衡…
Build and optimize GPU-based ML infrastructure for large-scale AI systems, including training frameworks and data pipelines, while collaborating with ML teams to productionize models.
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