AI Infrastructure Engineer

Role overview: We are seeking an AI Infrastructure Engineer to bring rack-scale AI systems online and help prepare them for reliable operation. This project focuses on the logical configuration, integration, and validation of compute, networking, and software platforms in a restricted-network environment.

Responsibilities: Configure and bring online rack-scale AI compute systems and their supporting interconnects. Integrate high-performance cluster networking and connectivity with the surrounding infrastructure. Deploy and configure cluster management, provisioning, monitoring, and scheduling capabilities. Install and maintain Linux, accelerator software, and related components using appropriate offline deployment practices. Run functional and performance validation, resolve configuration issues, and document operational readiness. Coordinate with infrastructure and network teams during system handoff and acceptance.

Required qualifications: Hands-on experience deploying rack-scale AI or high-performance computing infrastructure, such as NVIDIA GB200/GB300, AMD Instinct clusters, or equivalent platforms. Experience configuring high-performance AI networking and accelerator interconnects, such as NVIDIA Spectrum-X, Quantum InfiniBand, or comparable fabrics. Working knowledge of Linux-based accelerator software and cluster management platforms. Experience deploying systems in disconnected or restricted-network environments. Ability to plan and execute infrastructure validation and clearly document results. U.S. citizenship and ability to complete site access and background screening requirements.

Preferred qualifications: Familiarity with NVLink/NVSwitch or RoCEv2 and cluster orchestration using Slurm or Kubernetes. Experience with CUDA or ROCm software stacks and validation tools such as NCCL/RCCL.Relevant AI infrastructure or networking certifications, such as NVIDIA-Certified Professional (AI Infrastructure or Networking), Arista ACE:L5, Cisco CCIE Data Center, or comparable credentials. Prior experience deploying systems in secure or restricted-access facilities.