HPC Systems Engineer

What you'll do

• Architect and deploy advanced GPU infrastructure including NVIDIA H100, H200, and B200/B300 systems.
• Rack, stack, cable, and configure physical servers and multi-node GPU systems from end to end.
• Configure HPC and AI environments using job schedulers like Slurm and cluster management software.
• Implement and fine-tune high-speed interconnects such as NVLink, NVSwitch, and InfiniBand/NDR.
• Manage large-scale, high-performance storage platforms optimized for AI/ML data access patterns.
• Install and maintain the application stack including CUDA, PyTorch, TensorFlow, and simulation software.
• Troubleshoot complex system-wide issues related to application performance, compute nodes, and job queueing.
• Monitor GPU health and performance using NVIDIA Data Center GPU Manager to resolve training bottlenecks.

What we're looking for

• 5+ years of experience in designing, developing, and implementing large scale compute enterprise systems and solutions.
• Strong knowledge of HPC concepts including cluster architecture, file systems, and high-speed InfiniBand/Ethernet interconnections.
• Proven expertise in Red Hat Enterprise Linux, Ubuntu, HPC, GPU, or Azure/AWS cloud services.
• Strong understanding and experience with systems automation tools such as Ansible, Salt, or Puppet.
• Experience in HPC technologies such as parallel/distributed file systems like Lustre, GPFS, Pure, or VAST.
• Working knowledge of HPC batch scheduler software such as PBSPro or SLURM.
• Experience building HPC clusters in AWS or Azure.
• Ability to lift 50 lbs and eligible to obtain and maintain a US Top Secret Clearance.