高级软件工程师，DGX云生产工程
Senior Software Engineer, DGX Cloud Production Engineering
NVIDIA DGX Cloud 正在构建和运营大规模 GPU 基础设施，用于 AI 研究和生产工作负载。我们正在寻找高级软件工程师，帮助构建自动化、工具和运维系统，使 GPU 集群可靠、可扩展且安全运行。该职位是专注于基于 Kubernetes 的基础设施、GPU 集群运维、可靠性、自动化、GitOps 和 DGX Cloud 环境中日常运维的生产工程团队的一部分。
你将负责：
- 在 NVIDIA 云合作伙伴（NCP）和本地环境中，构建和运维大规模 GPU 集群的自动化。
- 开发用于配置、验证、升级、监控、修复和集群生命周期操作的工具和服务。
- 改进集群部署、交接和生产运维的 Day 0 / Day 1 / Day 2 流程。
- 通过 API、GitOps、自动化和代理辅助流程减少生产环境中的手动操作。
- 参与值班、事件响应、调试和持久化跟进工作。
- 与平台、存储、网络、安全和工作负载团队合作，使基础设施具备生产就绪能力。
我们需要看到：
- 8 年以上构建或运维生产基础设施的经验。
- 强大的 Python、Go 或类似语言的编程技能。
- 具备 Linux、Kubernetes、容器、云基础设施或基础设施自动化的经验。
- 能够排查生产环境中的分布式系统问题。
- 清晰的沟通能力，以及跨团队协作的能力。
- 计算机科学或相关领域的学士/硕士学历。
脱颖而出的方式：
- 具备 GPU 基础设施、Kubernetes 运算器、GitOps、Terraform、ArgoCD 或 fleet 自动化的经验。
- 具备 SLO、值班、事件响应、可观测性和可靠性实践的经验。
- 接触过 BMaaS、VMaaS、托管 Kubernetes 或多云基础设施。
NVIDIA 在人工智能、高性能计算和可视化领域引领突破性发展。我们发明的 GPU 是现代计算机的视觉皮层，是我们的产品和服务的核心。我们拥有一些最具前瞻性、最勤奋的人才。如果你富有创造力、勤奋且自我驱动，我们希望听到你的声音！
你的基本薪资将根据你的工作地点、经验和类似职位员工的薪资确定。基本薪资范围为 184,000 美元 - 287,500 美元。
查看英文原文
NVIDIA DGX Cloud is building and operating large-scale GPU infrastructure for AI research and production workloads. We are looking for Senior Software Engineers to help build the automation, tooling, and operational systems that make GPU clusters reliable, scalable, and safe to run. This role is part of a production engineering team focused on Kubernetes-based infrastructure, GPU cluster operations, reliability, automation, GitOps, and Day 2 operability across DGX Cloud environments.
What you’ll be doing:
- Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments.
- Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.
- Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.
- Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.
- Participate in on-call, incident response, debugging, and durable follow-up work.
- Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.
What we need to see:
- 8+ years of experience building or operating production infrastructure.
- Strong programming skills in Python, Go, or similar.
- Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
- Ability to troubleshoot distributed systems in production.
- Clear communication and ability to work across teams.
- BS/MS in Computer Science or equivalent experience.
Ways to stand out from the crowd:
- Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.
- Experience with SLOs, on-call, incident response, observability, and reliability practices.
- Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 20, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas