Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs and sells AI infrastructure solutions for high-performance GPU workloads, working with AI labs and enterprises across Northern EMEA while bridging ML training needs with bare-metal infrastructure and MLOps tooling.
Designs and deploys AI infrastructure solutions for enterprise customers, focusing on LLM workloads and GPU-based cloud platforms.
Staff Engineer to design, build, and operate the control plane for CoreWeave's high-performance AI storage platform, working with exabyte-scale S3-compatible object storage, distributed filesystems, and technologies like RDMA, GPU Direct Storage, and InfiniBand to power AI workloads at scale.
Leads product strategy for CoreWeave’s AI training infrastructure, focusing on high-performance orchestration tools like Slurm on Kubernetes and reinforcement learning pipelines to support frontier AI research.
Senior engineer building and operating a Kubernetes-native test framework that validates bare-metal host images and infrastructure for a large GPU cloud platform, using Rust and Python.
Design and deliver AI infrastructure demos and proofs-of-concept for new customers, partnering with sales and engineering to onboard greenfield AI teams onto CoreWeave’s GPU-powered cloud platform.
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
Senior Account Solutions Architect at CoreWeave serves as the named technical partner to existing customers, helping AI teams deepen platform adoption, unblock technical issues, and scale LLM workloads in production across the full stack. Core skills: Python, hands-on LLM/deep learning deployment, and major cloud platforms.
Overview The Azure HPC & AI Infrastructure team defines and delivers the systems that power some of the world’s largest AI training and inference workloads. As Microsoft continues to expand the scale and…
Infrastructure engineer who owns the GPU compute layer for model training, evaluation, and serving — running Kubernetes clusters, improving GPU scheduling and node health, and managing cloud capacity. Core stack: Kubernetes, Linux, GPUs, Python, and cloud tooling (AWS, Terraform).
Orbis Operations is seeking a Software Integration Engineer to support its government customer in Annapolis Junction, MD. Required Clearance: Active Security Clearance required at the Top Secret (TS)/Special…
You will design compute and storage fabrics for GPU clusters. You will specify and order network equipment to prevent deployment delays, then operate, monitor, and tune production fabrics. Responsibilities Design…
Join the HPC team to develop automated tools and validation frameworks that ensure GPU racks are ready for production. The role includes building NCCL performance benchmarks, GPU infrastructure and NVLink connectivity…
We are looking for a Lead or Senior Systems Engineer with HPC Administration expertise to help maintain high-performance computing environments while ensuring reliable system performance and operational support for…
We are looking for an experienced HPC Administration professional to take on a Lead or Senior Systems Engineer role, responsible for sustaining high-performance computing environments and ensuring consistent system…
We are seeking a Lead / Senior Systems Engineer specializing in HPC Administration to support and maintain high-performance computing environments, ensuring system reliability, performance, and smooth operational…
We are looking for a Lead / Senior Systems Engineer to handle HPC Administration tasks, keeping high-performance computing environments running smoothly, reliable, and well-supported for users. Responsibilities Resolve…
阿里云正在构建面向 AI 大模型训练与推理的下一代高性能网络基础设施，以支撑全球企业对极致算力与低延迟网络的需求。我们正在寻找一位在 RDMA（Remote Direct Memory Access） 技术领域有深厚经验的 DevOps 工程师，负责设计、部署和优化基于 RDMA 的 AI 训练集群网络架构，推动高性能网络技术在分布式 AI 场景的落地与创新。 核心职责： 1）AI 训练集群网络架构设计与运维 部署、运维和维护基于…
a. 阿里云正在构建面向 AI 大模型训练与推理的下一代高性能网络基础设施，以支撑全球企业对极致算力与低延迟网络的需求。我们正在寻找一位在 RDMA（Remote Direct Memory Access） 技术领域有深厚经验的 DevOps 工程师，负责设计、部署和优化基于 RDMA 的 AI 训练集群网络架构，推动高性能网络技术在分布式 AI 场景的落地与创新。 b. 核心职责： i. AI 训练集群网络架构设计与运维 1.…
We couldn't check your fit for this role — add a CV to your profile to see it next time.