AI/HPC Cluster Design Engineer

The Role

We are seeking an experienced AI systems engineer to design scalable AI/HPC clusters with specific focus on compliance with customer and/or design requirements. This role involves reviewing and selecting compute, storage, networking, and power delivery components and solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads.

The Person

An experienced systems engineer with a strong background in HPC, AI systems, and cluster engineering. You bring deep technical knowledge of compute, power, and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms.

Key Responsibilities

• System Architecture & Design
  • Design scalable AI/HPC clusters including compute, storage, and networking
  • Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance
• Network
  • Design network topologies to maximize overall cluster performance
  • Understand the network performance needs of different types of workloads
  • Understand advantages and performance trade-offs of network topologies for AI/HPC clusters
• Storage
  • Design and optimize storage solutions to maximize AI/HPC cluster performance
  • Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc.
• Collaboration
  • Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure

Qualifications

• Experience in HPC, AI systems/clusters, or data center engineering
• Strong understanding of rack and cluster design
• Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking
• Familiarity with AI/ML frameworks and workload characteristics
• Excellent problem-solving, communication, and documentation skills

Preferred Qualifications

• Experience in HPC, AI infrastructure, or data center systems engineering
• Experience designing power delivery solutions for racks and data centers
• Contributions to open-source HPC or AI infrastructure projects

Academic Credentials

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or related field.

This role is not eligible for Visa Sponsorship.