远程工作雷达

高级软件工程师,AI基础设施

Senior Software Engineer, AI Infrastructure

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United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 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。

Mirantis正在构建一个新的企业AI基础设施产品,使组织能够在自己的Kubernetes集群上运行和管理大型语言模型。你将早期加入一个小型高级团队,负责模型服务层及其生产路径的广泛职责

你将负责的工作

  • 在Kubernetes上设计和构建LLM服务基础设施:部署、GPU调度、扩展和模型生命周期管理
  • 为企业环境打包平台:基于Helm的安装、升级和受限/离线网络支持
  • 将服务层与平台的API网关、身份验证和计量服务集成
  • 构建在生产环境中运行GPU推理的可观测性(服务指标、GPU遥测)
  • 参与多服务代码库,通过设计文档和评审帮助设定工程方向

我们寻找的人选

  • 在基础设施、平台或分布式系统领域有5年以上软件工程经验
  • 深入的Kubernetes实践经验:构建和运维生产负载及Helm图表,而不仅仅是使用托管集群
  • 具有GPU工作负载或LLM推理经验,或具备相关系统经验并有快速学习记录
  • 强大的Go编程技能;扎实的CI/CD和基础设施即代码技能
  • 熟练使用AI辅助开发工具(Claude Code、OpenAI Codex)作为日常工程工作流程的一部分
  • 能够在一个小型、以远程为主、以书面沟通为主的团队中独立工作

加分项

  • 推理性能工作(量化、批处理、缓存)或分布式服务框架经验
  • 企业部署经验:隔离安装、SSO/OIDC、供应链安全
  • UI开发经验(如React/TypeScript),随着产品管理界面的增长会很有用
  • 在Kubernetes或ML基础设施生态系统中有开源贡献

Mirantis能为你提供什么?

  • 与云计算基础设施行业的知名硅谷领导者合作;
  • 与充满热情、才华横溢且富有感染力的同事一起工作,帮助财富500强和全球2000强客户实施下一代云技术;
  • 成为前沿开源创新的一部分;
  • 在一家年轻公司中蓬勃发展,这里重视开放、协作、勇于冒险和持续成长;
  • 专业发展和培训;
  • 参加会议和工作组;
  • 公司活动、欢乐时光
查看英文原文

Mirantis is building a new enterprise AI infrastructure product that lets organizations run and govern large language models on their own Kubernetes clusters. You will join a small senior team early, with broad ownership of the model-serving layer and its path to production.
What you'll do

  • Design and build LLM serving infrastructure on Kubernetes: deployment, GPU scheduling, scaling, and model lifecycle management.
  • Package the platform for enterprise environments: Helm-based installs, upgrades, and restricted/offline networks.
  • Integrate the serving layer with the platform's API gateway, identity, and metering services.
  • Build the observability for operating GPU inference in production (serving metrics, GPU telemetry).
  • Contribute across a multi-service codebase and help set engineering direction through design docs and reviews.

What we're looking for

  • 5+ years of software engineering experience in infrastructure, platform, or distributed systems.
  • Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts, not just consuming managed clusters.
  • Experience with GPU workloads or LLM inference, or strong adjacent systems experience and a track record of learning fast.
  • Strong Go programming skills; solid CI/CD and infrastructure-as-code skills.
  • Fluency with AI-assisted development tools (Claude Code, OpenAI Codex) as part of your daily engineering workflow.
  • Comfortable with high autonomy on a small, remote-first, written-culture team.

Nice to have

  • Inference performance work (quantization, batching, caching) or distributed serving frameworks.
  • Enterprise deployment experience: air-gapped installs, SSO/OIDC, supply-chain security.
  • UI development experience (e.g. React/TypeScript), useful as the product's management surfaces grow.
  • Open-source contributions in the Kubernetes or ML-infrastructure ecosystems.

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.

We are a Leader for Container Management in G2 (#2 after AWS)!
Mirantis, an IREN company, 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.
Originally posted on Himalayas

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