Solution Architect Cluster Design
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Summary
Design and recommend GPU clusters for AI workloads by analyzing customer needs, producing sizing/topology docs, and validating performance benchmarks with Slurm and Kubernetes.
You are the technical bridge between Sesterce's infrastructure capabilities and the compute requirements of enterprise and hyperscale customers, translating AI workloads into precise cluster designs that infrastructure, network, and operations teams execute against.
Responsibilities
- Engage with customers to understand workload profiles and translate them into cluster sizing and topology recommendations
- Produce cluster design documents covering GPU type, node count, InfiniBand topology, storage, and interconnect
- Define and validate performance benchmarks before customer commitment
- Collaborate with the Sesterce OS team to align Slurm and Kubernetes with topology and scheduling requirements
- Support commercial negotiations with BoM estimates, lead times, and technical risk assessments
Requirements
- 5+ years in HPC or AI infrastructure, with direct involvement in GPU cluster design or technical pre-sales
- Hands-on familiarity with NVIDIA Hopper and Blackwell GPU architectures, NVLink, NVSwitch, and multi-rail InfiniBand
- Ability to interpret AI workload performance profiles and map them to hardware
- Strong written communication
- Background at or with cloud providers, HPC centers, or AI infrastructure vendors is a strong plus
