Principal Engineer, Rack-Scale GPU Architecture

📋 Description

• Owning end-to-end reference architecture for rack-scale inference systems
• Defining NVLink domain partitioning, allocation, and isolation
• Architecting scale-out RDMA fabric (RoCEv2 or InfiniBand)
• Making Kubernetes topology-aware for GPU systems
• Driving multi-node disaggregated serving
• Owning failure semantics and serviceability at rack scale

🎯 Requirements

• 12+ years in large-scale compute, HPC, or GPU infrastructure engineering
• Deep understanding of GPU interconnect and system topology (NVLink, NVSwitch, PCIe, NUMA)
• Strong RDMA networking background (RoCEv2 or InfiniBand, GPUDirect RDMA)
• Practical NCCL expertise
• Substantial Kubernetes depth for accelerated workloads
• Strong systems programming in Go and Python

🎁 Benefits

• Competitive array of benefits
• Employee Assistance Program
• Local Employee Meetups
• Flexible time off policy
• Bonus eligibility
• Equity compensation (including Employee Stock Purchase Program)