Archived listing. The details below describe a past opening.
Required Skills & Experience
5+ years of experience in data center infrastructure, HPC, AI infrastructure, or systems engineering. Hands-on experience deploying or supporting NVIDIA GB200, GB300, DGX, HGX, or similar GPU-based computing platforms. Strong experience with NVIDIA networking technologies, including InfiniBand and high-speed Ethernet fabrics. Experience supporting hyperscale, AI, HPC, or mission-critical data center environments. Knowledge of rack-level deployment, server provisioning, and hardware integration. Experience configuring and troubleshooting Linux-based systems. Understanding of GPU cluster architecture, distributed computing environments, and AI infrastructure operations.
**Ability to travel once hired for onboarding/ramp up. Remote past that!
Nice to Have Skills & Experience
Experience with NVIDIA Mission Control, Base Command, or DGX ecosystem technologies. Experience deploying liquid-cooled infrastructure and high-density compute environments. Familiarity with Kubernetes, Slurm, containerized workloads, and cluster orchestration.
Job Description
We are seeking a highly skilled AI Infrastructure Systems Engineer to lead the deployment, provisioning, and optimization of next-generation NVIDIA GB300 NVL72 AI supercomputer clusters. This role sits at the intersection of data center infrastructure, high-performance networking, and AI platform operations. The ideal candidate will be responsible for bringing up liquid-cooled compute environments, configuring NVIDIA networking solutions, and establishing scalable management and orchestration frameworks to support large-scale AI workloads. This is an opportunity to work directly with cutting-edge Blackwell Ultra AI infrastructure, enabling advanced AI training and reasoning environments at hyperscale.
Responsibilities
- Deploy and provision NVIDIA GB300 NVL72 AI infrastructure within enterprise and hyperscale data center environments.
- Configure and validate NVIDIA networking technologies, including high-bandwidth Ethernet and InfiniBand fabrics.
- Bring online and optimize liquid-cooled compute trays, racks, and supporting infrastructure.
- Deploy, configure, and manage NVIDIA Mission Control environments.
- Support cluster integration, system bring-up, validation, testing, and performance tuning.
- Collaborate with data center, networking, platform engineering, and operations teams to ensure infrastructure readiness.
- Troubleshoot hardware, networking, storage, and software issues impacting AI cluster performance.
- Develop automation and operational procedures for cluster deployment, monitoring, and lifecycle management.
- Ensure system stability, reliability, and scalability across AI compute environments.
- Support customer-facing deployments and provide technical leadership throughout implementation efforts.