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AI存储基础设施工程师 - 美国远程

AI Storage Infrastructure Engineer - remote in the US

AI开发工程限定地区(需当地身份)
公司Mirantis
薪资未公开
工作地点Remote, USA, United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Full-time
发布时间2026-09-11
数据来源SmartRecruiters
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注意地域限制:该职位明确限定在 us 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于 Mirantis
Mirantis 是一家基于 Kubernetes 的 AI 基础设施公司,使组织能够为现代 AI、机器学习和数据密集型应用构建可扩展、安全且自主的基础架构。通过将开源创新与对 Kubernetes 编排的深入专业知识相结合,Mirantis 使平台工程团队能够在任何环境中交付可组合、生产就绪的开发者平台——本地部署、云上、边缘或自主数据中心。随着企业应对日益复杂的 AI 驱动工作负载,Mirantis 提供了自动化、GPU 编排和策略驱动的控制,以自信和敏捷的方式管理基础架构。致力于开放标准并避免供应商锁定,Mirantis 确保客户对其基础架构战略拥有完全控制权。

概述
该职位负责部署、集成和运营 GPU 加速计算和 AI 平台的高性能存储。您将负责存储层,即 Kubernetes 与裸金属的交汇点——搭建基于 NFS 的高性能存储,通过 CSI 将其连接到集群,并对其进行调优,以在大规模下保持数据流向 GPU 工作负载。工作范围涵盖基于 Mirantis K0rdent 堆栈的混合、边缘和隔离部署。

职位描述
我们正在寻找一位高级系统工程师,将存储视为需要自动化、监控和调优的基础设施,而非手动管理。合适的候选人应精通 Kubernetes 存储,深入了解 Linux 存储和网络基础,包括内核和 NFS 客户端层,并知道如何在高负载下让高性能 NAS 实际运行。您应默认采用基础设施即代码和 GitOps,具备自我驱动能力来端到端诊断性能和可靠性问题,为他人设定操作标准,并清晰地跨团队沟通。具备裸金属硬件经验是加分项,但深厚的 Linux 存储知识是必需的。

职责

1. 存储集成与运维
· 通过 CSI、存储类和持久卷将基于 NFS 的高性能存储(如 VAST、Dell PowerScale)集成到 Kubernetes 集群中。
· 调整 NFS 数据路径——挂载选项、nconnect/RDMA、Linux 客户端和网络设置——以支持高吞吐量、低延迟的 GPU/AI 工作负载。
· 部署和运维存储服务和运营商;管理容量、配额、快照和生命周期。
2. Linux 平台与系统集成

查看英文原文

About Mirantis
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Overview
The role is to deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. You will own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale. Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
About the Role
We are looking for a senior systems engineer who treats storage as infrastructure to be automated, observed, and tuned — not hand-managed. The right candidate is fluent in Kubernetes storage, deeply versed in Linux storage and networking fundamentals down to the kernel and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads. You should reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams. Bare-metal hardware experience is a strong plus, but deep Linux storage knowledge is essential.
Responsibilities

1. Storage Integration & Operation
· Integrate NFS-based high-performance storage (e.g., VAST, Dell PowerScale) into Kubernetes clusters via CSI, storage classes, and persistent volumes.
· Tune the NFS data path — mount options, nconnect/RDMA, Linux client, and network settings — for high-throughput, low-latency GPU/AI workloads.
· Deploy and operate storage services and operators; manage capacity, quotas, snapshots, and lifecycle.
2. Linux Platform & System Integration
· Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization.
· Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies.
· Operate storage in fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.
3. Automation & Observability
· Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (ArgoCD or Flux).
· Build monitoring, alerting, and observability for storage performance, capacity, and health.
· Diagnose and resolve performance, reliability, and scaling issues across the storage stack.

Required qualifications:
· 7+ years of experience in SRE or hardware/storage infrastructure operations
· 5+ years of building/operating distributed production Storage systems at scale

  • 7+ years of experience in Linux and K8s storage fundamentals (NFS, CSI)
  • 1+ years of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale)

What does Mirantis offer you?

- Work with an established Silicon Valley leader in the cloud infrastructure industry;

- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;

- Be a part of cutting-edge, open-source innovation;

- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;

- Professional development and training;

- Attend conferences and working groups;

- Company outings, happy hours, hackathons, and tech talks;

- Receive a competitive compensation package with a strong benefits plan.

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com

By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

We are a Leader for Container Management in G2 (#2 after AWS)!

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