Senior Infrastructure Engineer

Responsibilities Infrastructure Design & Deployment: Architect and implement GPU and compute infrastructure at the server, rack, and system level for AI workloads across co‑located data center environments. Bare‑Metal Provisioning: Deploy and manage bare‑metal servers using provisioning tools like Canonical MAAS, building automated workflows for severe lifecycle management from installation through decommissioning. Hardware & Firmware Management: Develop and maintain systems to monitor hardware health, manage firmware updates across compute/storage/network equipment, and automate recovery processes. GPU Operations: Troubleshoot GPU‑related performance issues at the driver, kernel, or firmware level and optimize configurations for training and inference workloads. Infrastructure Automation: Build automation using Ansible, Terraform, and Python to eliminate manual provisioning, streamline patching processes, and enable scalable infrastructure operations. Performance Monitoring: Monitor system performance, identify bottlenecks in compute/storage/networking layers, and proactively address reliability issues or capacity issues. Cross‑Team Collaboration: Work closely with network engineers, systems engineers, and SREs to ensure cohesive infrastructure operations and seamless integration with Kubernetes and platform orchestration layers. Vendor Management: Serve as primary point of contact for hardware escalations, RMAs (Return Material Authorization), and vendor relationship for compute/storage/networking equipment. Requirements Experience: 5+ years in infrastructure engineering, systems engineering, or hardware‑focused roles, preferably with AI/HPC workloads. Linux Expertise: Strong background in Linux systems administration, performance tuning, and troubleshooting at the system level. Bare‑Metal Provisioning: Hands‑on experience with bare‑metal provisioning tools (MAAS or similar) and automated deployment workflows. DCIM & Documentation: Familiarity with data center infrastructure management tools (NetBox, Device42, or similar) for asset tracking, network documentation, and maintaining infrastructure source of truth. Hardware & GPU Systems: Familiarity with server hardware, GPU configurations, drivers, and system level performance optimization. Automation Skills: Proficiency with Ansible, Terraform, and scripting (Python, Bash) for infrastructure automation and operational efficiency. Infrastructure Operations: Experience deploying and maintaining physical infrastructure in production data center environments. Problem‑Solving: Ability to troubleshoot complex hardware, firmware, and system issues under pressure. Collaboration: Comfortable working with cross‑functional teams including network engineers, systems engineers, and platform developers to resolve infrastructure challenges. Preferred Qualifications Experience with GPU workload orchestration platforms (Kubernetes, SLURM) and their infrastructure requirements. Familiarity with high‑performance networking (InfiniBand, RDMA, RoCE) and spine‑leaf network architectures. Experience with monitoring and observability tools (Prometheus, Grafana). Understanding of Kubernetes infrastructure requirements (compute, storage, networking layer). Exposure to co‑located data center operations or building infrastructure for regulated environments. Background supporting research institutions, HPC facilities, or enterprise AI infrastructure. Key Technologies Linux, Canonical MAAS, NetBox, Terraform, Ansible, Python, NVIDIA GPU Drivers/Tools, High‑Performance Networking, Enterprise Storage Systems, Prometheus, Grafana Why Moonlite Build the Future of AI Infrastructure: Join a pioneering team shaping scalable solutions for the enterprise. Your work will directly impact the deployment and usability of AI at scale. Hands‑On Ownership: As an early engineer, you'll have end‑to‑end ownership of projects and the autonomy to influence our product and technology direction. Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high‑performance computing, innovation, and problem‑solving. Start‑Up Agility with Industry Impact: Enjoy the dynamic, fast‑paced environment of a startup while making an immediate impact in an evolving and critical technology space. Compensation We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry‑leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well‑being and success as we grow together. #J-18808-Ljbffr