基础设施运维工程师(亚太区)
Infrastructure Operations Engineer (APAC)
### 我们是谁
Lightning AI 是 PyTorch Lightning 的开发公司。成立于 2019 年,我们构建了一个端到端的平台,用于开发、训练和部署 AI 系统——旨在以更少的摩擦将想法从研究阶段推向生产环境。
通过与 Voltage Park(一家新云和 AI 工厂)的合并,Lightning AI 将以开发者为中心的软件与成本高效的大规模计算相结合。团队可以获得实验、训练和生产推理所需的工具,同时内置安全、可观测性和控制能力。
我们服务独立研究人员、初创企业和大型企业。Lightning AI 全球运营,在纽约市、旧金山、西雅图和伦敦设有办公室,并获得 Coatue、Index Ventures、Bain Capital Ventures 和 Firstminute 的支持。
### 我们的工作方式
在这里茁壮成长的人是快速行动者,他们开放沟通、承担责任,并持续提升自己、团队和公司。以下是实际表现:
- **保持紧迫感:** 我们快速行动,做出深思熟虑的决策,保持势头。我们重视行动而非完美,通过发布来学习。
- **承担责任:** 我们负责结果,而不仅仅是个人工作。我们做出推动公司前进的决策并跟进执行。
- **开放沟通:** 我们直接沟通,寻求理解,并为他人创造清晰度。诚实的对话帮助我们更快地一起前进。
- **打造优秀团队:** 我们以身作则,赋能他人,并创建健康团队,让员工能够发挥最佳水平。
- **提高标准:** 我们一直在提升自己。我们从反馈中学习,不断挑战自我成长,并专注于最重要的工作。
- **长远思考:** 我们为未来设计。我们构建可扩展的系统,简化复杂性,并利用 AI 和自动化放大我们的影响。
### 我们寻找的人选
Lightning AI 正在寻找一位经验丰富的 **基础设施运维工程师** 加入我们的 APAC InfraOps 团队,帮助扩展和运营我们的下一代 AI 基础设施平台。我们的 InfraOps 团队是 GPU 基础设施可靠性和自动化操作的核心。该团队负责故障修复、事件响应、客户配置、可观测性以及维持复杂基础设施高效运行的自动化系统。
在这个职位上,你将直接参与大规模 GPU 环境、Linux 系统、裸机基础设施和配置工作。
查看英文原文
### Who **We Are**
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
### The Way We Work
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
- **Move with Urgency:** We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
- **Take Ownership:** We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
- **Communicate Openly:** We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
- **Build Great Teams:** We lead by example, empower others, and create healthy teams where people can do their best work.
- **Raise the Bar:** We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
- **Think Long-Term:** We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
### **What We're Looking For**
Lightning AI is seeking an experienced **Senior Infrastructure Operations Engineer** to help operate and scale the infrastructure behind one of the world's largest GPU fleets.
Our Infrastructure Operations team sits at the center of production reliability for Lightning's AI infrastructure. The team works across Linux, bare-metal servers, GPUs, networking, storage, provisioning, and cluster orchestration, serving as a critical technical escalation point when complex infrastructure issues arise.
This is not a traditional systems administration or ticket-driven operations role. You'll troubleshoot problems across the infrastructure stack, own issues through resolution, and identify opportunities to automate recurring work. You'll also contribute to longer-term engineering projects that improve reliability, standardize operations, and allow our infrastructure to scale efficiently.
We're looking for an infrastructure generalist who is comfortable going deep when something breaks, but who also step back and ask how we can prevent the same problem from happening again.
_This role is remote and open to candidates residing in Singapore. The role follows a Monday-Friday schedule from 8:00 AM to 5:00 PM local time (UTC+8), with regular participation in an on-call rotation._
### What You'll Do
- Operate and troubleshoot large-scale GPU and bare-metal infrastructure across Linux, compute, networking, storage, and cluster orchestration.
- Serve as a technical escalation point for complex infrastructure issues, driving problems from initial investigation through resolution and root cause analysis.
- Own operational workflows across the infrastructure lifecycle, including provisioning, configuration, validation, maintenance, remediation, and decommissioning.
- Build automation and internal tooling that eliminates repetitive operational work and enables the infrastructure fleet to scale efficiently.
- Identify recurring failure modes and partner with Infrastructure Engineering to build more reliable, repeatable, and automated systems.
- Improve provisioning, monitoring, diagnostics, and operational processes across a rapidly growing infrastructure footprint.
- Partner closely with Infrastructure Engineering, Network Engineering, Data Center Operations, Customer Experience, and Platform Engineering to resolve issues that cross team or system boundaries.
- Participate in a distributed primary/secondary on-call rotation supporting production infrastructure.
### What You'll Need
#### Required Qualifications
- Strong experience operating and troubleshooting Linux-based production infrastructure at scale.
- Experience troubleshooting complex infrastructure issues across compute, networking, storage, and operating systems.
- Strong automation and scripting skills using Python, Go, Bash, Ansible, or similar tools.
- Experience with Kubernetes, Slurm, or other cluster and workload orchestration systems.
- Experience using monitoring, observability, and telemetry systems to diagnose and troubleshoot production infrastructure.
- Strong systems and networking fundamentals, with a track record of owning production issues through resolution.
- Comfortable working in ambiguous environments and collaborating across engineering, operations, and customer-facing teams.
#### Nice-to-Haves
- Experience troubleshooting, provisioning, or operating bare-metal server infrastructure.
- Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure.
- Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center networking.
- Experience with hardware management and provisioning technologies such as PXE, BMC, IPMI, Redfish, or iDRAC.
- Experience with distributed or high-performance storage systems such as VAST, Ceph, GPFS, or WEKA.
- Experience with infrastructure-as-code, configuration management, or GitOps workflows.
### **Compensation**
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
The anticipated annual base salary range for this role is:
$165,000—$220,000 SGD
### **Benefits and Perks**
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:
- **Comprehensive Health Coverage:** Medical, dental, and vision coverage for employees and eligible dependents.
- **Meaningful Equity:** RSUs that give employees a stake in the company's long-term success.
- **Retirement Savings:** 401(k) matching (U.S.) and pension contributions (U.K.).
- **Flexible Time Off:** Unlimited PTO, company holidays, and floating holidays to support work-life balance.
- **Company-Wide Winter Break:** Two weeks of company closure each winter to disconnect and recharge.
- **Paid Parental & Family Leave:** Paid leave to support you and your family through life's important moments.
- **Professional Development:** Annual learning and development allowance to support your professional growth.
- **Wellness Benefits:** Wellness and work-from-home stipends to support your physical and mental well-being.
- **Sabbatical Program:** Four weeks of paid sabbatical leave after four years of service.
- **Flexible Work:** Flexible schedules and a hybrid work model for our office-based teams.
- **In-Office Meals:** Complimentary meals at our office hubs.
Benefits may vary by location, team, and role.
_At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential._