Senior Platform Engineer — GPU Cloud Infrastructure

Senior Platform Engineer — GPU Cloud Infrastructure **Location:** San Francisco, CA — Onsite 5 days/week **Employment Type:** Full\-Time **Compensation:** $210,000–$260,000 base \+ equity **Work Authorization:** Candidates must be currently authorized to work in the United States. This position is not eligible for new or future employer\-sponsored work authorization. **Note: No C2C arrangements will be considered.** **Any attempt to use personal or household contact information for solicitation, candidate submission, or vendor outreach is strictly prohibited and will be reported to LinkedIn.** About the Role What would it be like to help **build a cloud before all of the important infrastructure decisions have already been made?** We are partnering with a highly technical, well\-funded AI company launching a new **GPU\-focused neocloud** designed to provide high\-performance accelerated computing infrastructure. We are looking for a **Senior Platform Engineer** to help build the foundational systems behind this new GPU cloud. This is a true **0→1 infrastructure role** where you will help determine what should be built, make architectural decisions, build the systems, and own them through production. This is **not a traditional production\-operations SRE role** focused primarily on maintaining an established stack. The environment spans **Kubernetes, Linux, networking, storage, Infrastructure as Code, distributed systems, observability, automation, and GPU\-accelerated compute** . What You'll Do * Design and build foundational infrastructure for a new **GPU cloud platform** . * Own major infrastructure projects from **architecture through implementation and production** . * Design and evolve **Kubernetes\-based infrastructure** for distributed, compute\-intensive workloads. * Build platform software, automation, controllers, and internal tooling using **Python and/or Go** . * Develop reusable infrastructure using **Terraform / Infrastructure as Code** . * Build **deployment, provisioning, orchestration, and lifecycle\-management** capabilities. * Develop **self\-service infrastructure** that makes complex compute resources easier to consume. * Work across **Linux, networking, storage, containers, Kubernetes, and distributed systems** . * Build observability and diagnostic capabilities for large distributed environments. * Troubleshoot complex issues across **application, OS, network, storage, container, and infrastructure** boundaries. * Help establish technical patterns and architecture while the platform is still being created. What We're Looking For * Approximately **8\+ years of relevant engineering experience** . * Demonstrated experience **building infrastructure or platforms** , not primarily operating systems built by others. * Proven ownership of meaningful projects from **architecture through production** . * Strong **Linux and systems fundamentals** . * Deep hands\-on experience with **production Kubernetes** . * Strong **Terraform / Infrastructure as Code** experience. * Production programming or substantial infrastructure automation experience with **Python, Go, or another systems\-oriented language** . * Experience building or significantly extending **CI/CD, deployment systems, developer infrastructure, or platform tooling** . * Strong understanding of **distributed systems** and cross\-layer troubleshooting. * Strong architectural judgment and ability to explain technical tradeoffs. * Comfort working in a **0→1 environment with incomplete requirements and significant individual ownership** . * Desire to remain **deeply hands\-on** . Especially Valuable Experience We are particularly interested in engineers who have: * Built a **platform or infrastructure capability from scratch** . * Served as an **early, founding, or first infrastructure/platform engineer** . * Built **internal developer platforms or self\-service infrastructure** . * Written **Kubernetes operators, controllers, schedulers, or provisioning systems** . * Built **distributed compute, storage, networking, or data infrastructure** . * Independently turned ambiguous technical objectives into production systems. Nice to Have Experience with any of the following is valuable but **not required** : **GPU infrastructure • NVIDIA ecosystems • GPU scheduling/orchestration • NVIDIA GPU Operator • CUDA • DGX • InfiniBand • RDMA/RoCE • High\-performance networking • Distributed storage • Bare metal • AI/ML infrastructure • Ray • Slurm • ArgoCD/GitOps • Helm** Direct **GPU or HPC experience is a plus, not a requirement** . Exceptional platform and systems engineers who can quickly learn new infrastructure domains are strongly encouraged to apply. Why This Opportunity Most senior infrastructure roles ask you to inherit a platform. **This one gives you the opportunity to help create one.** You will join while fundamental decisions are still being made about **compute provisioning, GPU orchestration, workload scheduling, networking, storage, automation, observability, and developer experience** . If you enjoy **0→1 infrastructure engineering** , substantial technical ownership, and building systems rather than simply maintaining them, this is an opportunity to work unusually close to the foundation of a new cloud platform.